This data is obtained from UCI Machine learning repository. The purpose of the analysis is to evaluate the safety standard of the cars based on certain parameters and classify them. The detailed description of the dataset is provided below as given in the website:
For detailed code visit my Github repository
1. Title: Car Evaluation Database
2. Sources:
(a) Creator: Marko Bohanec
(b) Donors: Marko Bohanec (marko.bohanec@ijs.si)
Blaz Zupan (blaz.zupan@ijs.si)
(c) Date: June, 1997
3. Past Usage:
The hierarchical decision model, from which this dataset is
derived, was first presented in
M. Bohanec and V. Rajkovic: Knowledge acquisition and explanation for
multi-attribute decision making. In 8th Intl Workshop on Expert
Systems and their Applications, Avignon, France. pages 59-78, 1988.
Within machine-learning, this dataset was used for the evaluation
of HINT (Hierarchy INduction Tool), which was proved to be able to
completely reconstruct the original hierarchical model. This,
together with a comparison with C4.5, is presented in
B. Zupan, M. Bohanec, I. Bratko, J. Demsar: Machine learning by
function decomposition. ICML-97, Nashville, TN. 1997 (to appear)
4. Relevant Information Paragraph:
Car Evaluation Database was derived from a simple hierarchical
decision model originally developed for the demonstration of DEX
(M. Bohanec, V. Rajkovic: Expert system for decision
making. Sistemica 1(1), pp. 145-157, 1990.). The model evaluates
cars according to the following concept structure:
CAR car acceptability
. PRICE overall price
. . buying buying price
. . maint price of the maintenance
. TECH technical characteristics
. . COMFORT comfort
. . . doors number of doors
. . . persons capacity in terms of persons to carry
. . . lug_boot the size of luggage boot
. . safety estimated safety of the car
Input attributes are printed in lowercase. Besides the target
concept (CAR), the model includes three intermediate concepts:
PRICE, TECH, COMFORT. Every concept is in the original model
related to its lower level descendants by a set of examples (for
these examples sets see http://www-ai.ijs.si/BlazZupan/car.html).
The Car Evaluation Database contains examples with the structural
information removed, i.e., directly relates CAR to the six input
attributes: buying, maint, doors, persons, lug_boot, safety.
Because of known underlying concept structure, this database may be
particularly useful for testing constructive induction and
structure discovery methods.
5. Number of Instances: 1728
(instances completely cover the attribute space)
6. Number of Attributes: 6
7. Attribute Values:
buying v-high, high, med, low
maint v-high, high, med, low
doors 2, 3, 4, 5-more
persons 2, 4, more
lug_boot small, med, big
safety low, med, high
8. Missing Attribute Values: none
9. Class Distribution (number of instances per class)
class N N[%]
—————————–
unacc 1210 (70.023 %)
acc 384 (22.222 %)
good 69 ( 3.993 %)
v-good 65 ( 3.762 %)
1)Load the data
car_eval <- read.csv("F:/Analysis_Practice/Classification/Car Evaluation/car.data.txt", header=FALSE)
colnames(car_eval)<-c("buying","maint","doors","persons","lug_boot","safety","class")
head(car_eval)
## buying maint doors persons lug_boot safety class
## 1 vhigh vhigh 2 2 small low unacc
## 2 vhigh vhigh 2 2 small med unacc
## 3 vhigh vhigh 2 2 small high unacc
## 4 vhigh vhigh 2 2 med low unacc
## 5 vhigh vhigh 2 2 med med unacc
## 6 vhigh vhigh 2 2 med high unacc
2)Exploratory Data Analysis
summary(car_eval)
## buying maint doors persons lug_boot safety
## high :432 high :432 2 :432 2 :576 big :576 high:576
## low :432 low :432 3 :432 4 :576 med :576 low :576
## med :432 med :432 4 :432 more:576 small:576 med :576
## vhigh:432 vhigh:432 5more:432
## class
## acc : 384
## good : 69
## unacc:1210
## vgood: 65
str(car_eval)
## 'data.frame': 1728 obs. of 7 variables:
## $ buying : Factor w/ 4 levels "high","low","med",..: 4 4 4 4 4 4 4 4 4 4 ...
## $ maint : Factor w/ 4 levels "high","low","med",..: 4 4 4 4 4 4 4 4 4 4 ...
## $ doors : Factor w/ 4 levels "2","3","4","5more": 1 1 1 1 1 1 1 1 1 1 ...
## $ persons : Factor w/ 3 levels "2","4","more": 1 1 1 1 1 1 1 1 1 2 ...
## $ lug_boot: Factor w/ 3 levels "big","med","small": 3 3 3 2 2 2 1 1 1 3 ...
## $ safety : Factor w/ 3 levels "high","low","med": 2 3 1 2 3 1 2 3 1 2 ...
## $ class : Factor w/ 4 levels "acc","good","unacc",..: 3 3 3 3 3 3 3 3 3 3 ...
3)Classification Analysis
A)Linear Classification
1)Logistic Regression
library(VGAM)
#Build the model
model1<-vglm(class~buying+maint+doors+persons+lug_boot+safety,family = "multinomial",data=car_eval)
#Summarize the model
summary(model1)
##
## Call:
## vglm(formula = class ~ buying + maint + doors + persons + lug_boot +
## safety, family = "multinomial", data = car_eval)
##
## Pearson residuals:
## Min 1Q Median 3Q Max
## log(mu[,1]/mu[,4]) -34.602 -1.683e-08 1.769e-10 1.507e-07 7.360
## log(mu[,2]/mu[,4]) -39.054 -1.021e-09 7.796e-09 1.631e-08 1.823
## log(mu[,3]/mu[,4]) -3.012 -8.298e-04 -4.538e-08 -1.854e-08 73.907
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept):1 61.00010 2920.85272 0.021 0.98334
## (Intercept):2 -5.56072 3486.38550 -0.002 0.99873
## (Intercept):3 90.68525 1669.86779 0.054 0.95669
## buyinglow:1 -39.87833 841.37511 -0.047 0.96220
## buyinglow:2 -5.52882 1921.61548 -0.003 0.99770
## buyinglow:3 -44.90269 841.37529 -0.053 0.95744
## buyingmed:1 -32.45173 841.37274 -0.039 0.96923
## buyingmed:2 -3.66074 1921.61525 -0.002 0.99848
## buyingmed:3 -36.35884 841.37287 -0.043 0.96553
## buyingvhigh:1 0.15192 1199.83980 0.000 0.99990
## buyingvhigh:2 0.01987 2802.58954 0.000 0.99999
## buyingvhigh:3 2.21148 1199.83984 0.002 0.99853
## maintlow:1 -16.06330 2.71868 -5.908 3.45e-09 ***
## maintlow:2 14.68063 1865.75958 0.008 0.99372
## maintlow:3 -19.45263 2.75992 -7.048 1.81e-12 ***
## maintmed:1 -11.34113 1.99314 -5.690 1.27e-08 ***
## maintmed:2 14.60285 1865.75958 0.008 0.99376
## maintmed:3 -14.73637 2.04813 -7.195 6.24e-13 ***
## maintvhigh:1 23.91578 881.36580 0.027 0.97835
## maintvhigh:2 20.17163 2776.24689 0.007 0.99420
## maintvhigh:3 26.73111 881.36588 0.030 0.97580
## doors3:1 -4.27539 1.35240 -3.161 0.00157 **
## doors3:2 -1.79890 1.06301 -1.692 0.09059 .
## doors3:3 -6.12627 1.41126 -4.341 1.42e-05 ***
## doors4:1 -7.59238 1.58888 -4.778 1.77e-06 ***
## doors4:2 -4.02251 1.37488 -2.926 0.00344 **
## doors4:3 -10.06735 1.64543 -6.118 9.45e-10 ***
## doors5more:1 -7.59238 1.58888 -4.778 1.77e-06 ***
## doors5more:2 -4.02251 1.37488 -2.926 0.00344 **
## doors5more:3 -10.06735 1.64543 -6.118 9.45e-10 ***
## persons4:1 -20.67042 2797.50088 -0.007 0.99410
## persons4:2 -5.96742 2237.20993 -0.003 0.99787
## persons4:3 -51.89126 1442.88750 -0.036 0.97131
## personsmore:1 -22.04317 2797.50106 -0.008 0.99371
## personsmore:2 -7.28611 2237.21011 -0.003 0.99740
## personsmore:3 -52.88370 1442.88781 -0.037 0.97076
## lug_bootmed:1 6.41245 1.37396 4.667 3.05e-06 ***
## lug_bootmed:2 3.34150 1.11320 3.002 0.00268 **
## lug_bootmed:3 7.92503 1.42437 5.564 2.64e-08 ***
## lug_bootsmall:1 33.03251 756.91451 0.044 0.96519
## lug_bootsmall:2 23.59694 756.91383 0.031 0.97513
## lug_bootsmall:3 37.46662 756.91464 0.049 0.96052
## safetylow:1 21.69645 2903.70174 0.007 0.99404
## safetylow:2 6.75657 2467.01790 0.003 0.99781
## safetylow:3 53.40970 1602.38723 0.033 0.97341
## safetymed:1 31.34408 652.05428 0.048 0.96166
## safetymed:2 23.37362 652.05422 0.036 0.97141
## safetymed:3 34.33828 652.05437 0.053 0.95800
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Number of linear predictors: 3
##
## Names of linear predictors:
## log(mu[,1]/mu[,4]), log(mu[,2]/mu[,4]), log(mu[,3]/mu[,4])
##
## Dispersion Parameter for multinomial family: 1
##
## Residual deviance: 448.1751 on 5136 degrees of freedom
##
## Log-likelihood: -224.0875 on 5136 degrees of freedom
##
## Number of iterations: 21
#Predict using the model
x<-car_eval[,1:6]
y<-car_eval[,7]
probability<-predict(model1,x,type="response")
car_eval$pred_log_reg<-apply(probability,1,which.max)
car_eval$pred_log_reg[which(car_eval$pred_log_reg=="1")]<-levels(car_eval$class)[1]
car_eval$pred_log_reg[which(car_eval$pred_log_reg=="2")]<-levels(car_eval$class)[2]
car_eval$pred_log_reg[which(car_eval$pred_log_reg=="3")]<-levels(car_eval$class)[3]
car_eval$pred_log_reg[which(car_eval$pred_log_reg=="4")]<-levels(car_eval$class)[4]
#Accuracy of the model
mtab<-table(car_eval$pred_log_reg,car_eval$class)
library(caret)
confusionMatrix(mtab)
## Confusion Matrix and Statistics
##
##
## acc good unacc vgood
## acc 346 6 43 2
## good 4 59 1 0
## unacc 32 0 1166 0
## vgood 2 4 0 63
##
## Overall Statistics
##
## Accuracy : 0.9456
## 95% CI : (0.9338, 0.9558)
## No Information Rate : 0.7002
## P-Value [Acc > NIR] : < 2.2e-16
##
## Kappa : 0.8819
## Mcnemar's Test P-Value : NA
##
## Statistics by Class:
##
## Class: acc Class: good Class: unacc Class: vgood
## Sensitivity 0.9010 0.85507 0.9636 0.96923
## Specificity 0.9621 0.99699 0.9382 0.99639
## Pos Pred Value 0.8715 0.92188 0.9733 0.91304
## Neg Pred Value 0.9715 0.99399 0.9170 0.99879
## Prevalence 0.2222 0.03993 0.7002 0.03762
## Detection Rate 0.2002 0.03414 0.6748 0.03646
## Detection Prevalence 0.2297 0.03704 0.6933 0.03993
## Balanced Accuracy 0.9315 0.92603 0.9509 0.98281
2)Linear Discriminant Analysis
library(MASS)
#Build the model
model2<-lda(class~buying+maint+doors+persons+lug_boot+safety,data=car_eval)
#Summarize the model
summary(model2)
## Length Class Mode
## prior 4 -none- numeric
## counts 4 -none- numeric
## means 60 -none- numeric
## scaling 45 -none- numeric
## lev 4 -none- character
## svd 3 -none- numeric
## N 1 -none- numeric
## call 3 -none- call
## terms 3 terms call
## xlevels 6 -none- list
#Predict using the model
car_eval$pred_lda<-predict(model2,x)$class
#Accuracy of the model
mtab<-table(car_eval$pred_lda,car_eval$class)
confusionMatrix(mtab)
## Confusion Matrix and Statistics
##
##
## acc good unacc vgood
## acc 361 44 70 27
## good 10 23 2 3
## unacc 13 0 1138 0
## vgood 0 2 0 35
##
## Overall Statistics
##
## Accuracy : 0.901
## 95% CI : (0.886, 0.9147)
## No Information Rate : 0.7002
## P-Value [Acc > NIR] : < 2.2e-16
##
## Kappa : 0.7883
## Mcnemar's Test P-Value : NA
##
## Statistics by Class:
##
## Class: acc Class: good Class: unacc Class: vgood
## Sensitivity 0.9401 0.33333 0.9405 0.53846
## Specificity 0.8951 0.99096 0.9749 0.99880
## Pos Pred Value 0.7191 0.60526 0.9887 0.94595
## Neg Pred Value 0.9812 0.97278 0.8752 0.98226
## Prevalence 0.2222 0.03993 0.7002 0.03762
## Detection Rate 0.2089 0.01331 0.6586 0.02025
## Detection Prevalence 0.2905 0.02199 0.6661 0.02141
## Balanced Accuracy 0.9176 0.66215 0.9577 0.76863
B)Non-Linear Classification
1)Mixture Discriminant Analysis
library(mda)
#Build the model
model3<-mda(class~buying+maint+doors+persons+lug_boot+safety,data=car_eval)
#Summarize the model
summary(model3)
## Length Class Mode
## percent.explained 11 -none- numeric
## values 11 -none- numeric
## means 132 -none- numeric
## theta.mod 121 -none- numeric
## dimension 1 -none- numeric
## sub.prior 4 -none- list
## fit 4 polyreg list
## call 3 -none- call
## weights 4 -none- list
## prior 4 table numeric
## assign.theta 4 -none- list
## deviance 1 -none- numeric
## confusion 16 -none- numeric
## terms 3 terms call
#Predict using the model
car_eval$pred_mda<-predict(model3,x)
#Accuracy of the model
mtab<-table(car_eval$pred_mda,car_eval$class)
confusionMatrix(mtab)
## Confusion Matrix and Statistics
##
##
## acc good unacc vgood
## acc 359 26 98 10
## good 19 40 1 4
## unacc 6 0 1111 0
## vgood 0 3 0 51
##
## Overall Statistics
##
## Accuracy : 0.9034
## 95% CI : (0.8884, 0.9169)
## No Information Rate : 0.7002
## P-Value [Acc > NIR] : < 2.2e-16
##
## Kappa : 0.7992
## Mcnemar's Test P-Value : NA
##
## Statistics by Class:
##
## Class: acc Class: good Class: unacc Class: vgood
## Sensitivity 0.9349 0.57971 0.9182 0.78462
## Specificity 0.9003 0.98553 0.9884 0.99820
## Pos Pred Value 0.7282 0.62500 0.9946 0.94444
## Neg Pred Value 0.9798 0.98257 0.8380 0.99164
## Prevalence 0.2222 0.03993 0.7002 0.03762
## Detection Rate 0.2078 0.02315 0.6429 0.02951
## Detection Prevalence 0.2853 0.03704 0.6464 0.03125
## Balanced Accuracy 0.9176 0.78262 0.9533 0.89141
2)Quadratic Discriminant Analysis
library(MASS)
#Build the model
model4<-qda(class~buying+maint+doors+persons+lug_boot+safety,data=car_eval)
#Summarize the model
summary(model4)
#Predict using the model
car_eval$pred_qda<-predict(model4,x)
#Accuracy of the model
mtab<-table(car_eval$pred_qda,car_eval$class)
confusionMatrix(mtab)
3)Regularized Discriminant Analysis
library(klaR)
#Build the model
model5<-rda(class~buying+maint+doors+persons+lug_boot+safety,data=car_eval,gamma = 0.05,lambda = 0.01)
#Summarize the model
summary(model5)
## Length Class Mode
## call 5 -none- call
## regularization 2 -none- numeric
## classes 4 -none- character
## prior 4 -none- numeric
## error.rate 1 -none- numeric
## varnames 15 -none- character
## means 60 -none- numeric
## covariances 900 -none- numeric
## covpooled 225 -none- numeric
## converged 1 -none- logical
## iter 1 -none- numeric
## terms 3 terms call
## xlevels 6 -none- list
#Predict using the model
car_eval$pred_rda<-predict(model5,x)$class
#Accuracy of the model
mtab<-table(car_eval$pred_rda,car_eval$class)
confusionMatrix(mtab)
## Confusion Matrix and Statistics
##
##
## acc good unacc vgood
## acc 317 0 134 0
## good 45 63 4 0
## unacc 0 0 1072 0
## vgood 22 6 0 65
##
## Overall Statistics
##
## Accuracy : 0.8779
## 95% CI : (0.8615, 0.893)
## No Information Rate : 0.7002
## P-Value [Acc > NIR] : < 2.2e-16
##
## Kappa : 0.7572
## Mcnemar's Test P-Value : NA
##
## Statistics by Class:
##
## Class: acc Class: good Class: unacc Class: vgood
## Sensitivity 0.8255 0.91304 0.8860 1.00000
## Specificity 0.9003 0.97046 1.0000 0.98316
## Pos Pred Value 0.7029 0.56250 1.0000 0.69892
## Neg Pred Value 0.9475 0.99629 0.7896 1.00000
## Prevalence 0.2222 0.03993 0.7002 0.03762
## Detection Rate 0.1834 0.03646 0.6204 0.03762
## Detection Prevalence 0.2610 0.06481 0.6204 0.05382
## Balanced Accuracy 0.8629 0.94175 0.9430 0.99158
4)Neural Network
library(nnet)
#Build the model
model6<-nnet(class~buying+maint+doors+persons+lug_boot+safety,data=car_eval,size = 4,decay = 0.0001,maxit = 500)
## # weights: 84
## initial value 3146.965965
## iter 10 value 701.411988
## iter 20 value 339.044630
## iter 30 value 242.649756
## iter 40 value 153.140381
## iter 50 value 130.008613
## iter 60 value 123.029760
## iter 70 value 108.380983
## iter 80 value 94.373404
## iter 90 value 87.356866
## iter 100 value 85.299644
## iter 110 value 83.323437
## iter 120 value 82.463341
## iter 130 value 82.236483
## iter 140 value 82.000049
## iter 150 value 81.935088
## iter 160 value 81.658944
## iter 170 value 81.407497
## iter 180 value 81.377736
## iter 190 value 81.339431
## iter 200 value 81.208345
## iter 210 value 80.572435
## iter 220 value 77.973712
## iter 230 value 77.358931
## iter 240 value 76.429027
## iter 250 value 75.652041
## iter 260 value 74.303786
## iter 270 value 69.999793
## iter 280 value 65.840342
## iter 290 value 64.271439
## iter 300 value 62.841110
## iter 310 value 56.966230
## iter 320 value 56.714223
## iter 330 value 56.470783
## iter 340 value 56.304674
## iter 350 value 54.434167
## iter 360 value 53.962741
## iter 370 value 53.812916
## iter 380 value 53.582200
## iter 390 value 53.448081
## iter 400 value 53.403960
## iter 410 value 53.358311
## iter 420 value 53.312394
## iter 430 value 53.268125
## iter 440 value 53.243493
## iter 450 value 53.243257
## iter 460 value 53.241904
## iter 470 value 53.235293
## iter 480 value 53.225926
## iter 490 value 53.222271
## iter 500 value 53.216634
## final value 53.216634
## stopped after 500 iterations
#Summarize the model
summary(model6)
## a 15-4-4 network with 84 weights
## options were - softmax modelling decay=1e-04
## b->h1 i1->h1 i2->h1 i3->h1 i4->h1 i5->h1 i6->h1 i7->h1 i8->h1
## -3.62 7.70 7.53 26.95 2.99 2.34 22.86 -1.48 -3.14
## i9->h1 i10->h1 i11->h1 i12->h1 i13->h1 i14->h1 i15->h1
## -3.14 -13.04 -14.33 6.75 9.98 13.10 10.79
## b->h2 i1->h2 i2->h2 i3->h2 i4->h2 i5->h2 i6->h2 i7->h2 i8->h2
## -7.28 -1.82 -1.81 -1.48 -2.39 -1.98 -0.79 -1.18 -1.81
## i9->h2 i10->h2 i11->h2 i12->h2 i13->h2 i14->h2 i15->h2
## -2.57 -1.67 -3.39 -1.97 -2.29 -1.56 -2.51
## b->h3 i1->h3 i2->h3 i3->h3 i4->h3 i5->h3 i6->h3 i7->h3 i8->h3
## 4.86 -2.51 -2.23 -0.42 -1.76 -1.59 0.27 -0.18 -0.37
## i9->h3 i10->h3 i11->h3 i12->h3 i13->h3 i14->h3 i15->h3
## -0.37 -2.59 -2.68 0.35 0.80 4.86 0.86
## b->h4 i1->h4 i2->h4 i3->h4 i4->h4 i5->h4 i6->h4 i7->h4 i8->h4
## -8.47 -6.79 -4.73 2.11 -6.49 -4.28 2.38 10.27 9.64
## i9->h4 i10->h4 i11->h4 i12->h4 i13->h4 i14->h4 i15->h4
## 9.65 25.77 15.29 5.10 -5.25 -25.69 6.55
## b->o1 h1->o1 h2->o1 h3->o1 h4->o1
## -9.70 5.04 -3.69 19.00 23.45
## b->o2 h1->o2 h2->o2 h3->o2 h4->o2
## 19.50 23.61 4.58 -101.53 11.31
## b->o3 h1->o3 h2->o3 h3->o3 h4->o3
## -25.25 28.66 -3.35 106.57 -51.55
## b->o4 h1->o4 h2->o4 h3->o4 h4->o4
## 15.48 -57.22 2.47 -24.15 16.77
#Predict using the model
car_eval$pred_nnet<-predict(model6,x,type="class")
#Accuracy of the model
mtab<-table(car_eval$pred_nnet,car_eval$class)
confusionMatrix(mtab)
## Confusion Matrix and Statistics
##
##
## acc good unacc vgood
## acc 374 2 5 4
## good 2 67 0 0
## unacc 4 0 1205 0
## vgood 4 0 0 61
##
## Overall Statistics
##
## Accuracy : 0.9878
## 95% CI : (0.9815, 0.9925)
## No Information Rate : 0.7002
## P-Value [Acc > NIR] : < 2.2e-16
##
## Kappa : 0.9734
## Mcnemar's Test P-Value : NA
##
## Statistics by Class:
##
## Class: acc Class: good Class: unacc Class: vgood
## Sensitivity 0.9740 0.97101 0.9959 0.93846
## Specificity 0.9918 0.99879 0.9923 0.99759
## Pos Pred Value 0.9714 0.97101 0.9967 0.93846
## Neg Pred Value 0.9926 0.99879 0.9904 0.99759
## Prevalence 0.2222 0.03993 0.7002 0.03762
## Detection Rate 0.2164 0.03877 0.6973 0.03530
## Detection Prevalence 0.2228 0.03993 0.6997 0.03762
## Balanced Accuracy 0.9829 0.98490 0.9941 0.96803
5)Flexible Discriminant Analysis
library(mda)
#Build the model
model7<-fda(class~buying+maint+doors+persons+lug_boot+safety,data=car_eval)
#Summarize the model
summary(model7)
## Length Class Mode
## percent.explained 3 -none- numeric
## values 3 -none- numeric
## means 12 -none- numeric
## theta.mod 9 -none- numeric
## dimension 1 -none- numeric
## prior 4 table numeric
## fit 4 polyreg list
## call 3 -none- call
## terms 3 terms call
## confusion 16 -none- numeric
#Predict using the model
car_eval$pred_fda<-predict(model7,x,type="class")
#Accuracy of the model
mtab<-table(car_eval$pred_fda,car_eval$class)
confusionMatrix(mtab)
## Confusion Matrix and Statistics
##
##
## acc good unacc vgood
## acc 361 44 72 27
## good 10 23 2 3
## unacc 13 0 1136 0
## vgood 0 2 0 35
##
## Overall Statistics
##
## Accuracy : 0.8999
## 95% CI : (0.8848, 0.9136)
## No Information Rate : 0.7002
## P-Value [Acc > NIR] : < 2.2e-16
##
## Kappa : 0.786
## Mcnemar's Test P-Value : NA
##
## Statistics by Class:
##
## Class: acc Class: good Class: unacc Class: vgood
## Sensitivity 0.9401 0.33333 0.9388 0.53846
## Specificity 0.8936 0.99096 0.9749 0.99880
## Pos Pred Value 0.7163 0.60526 0.9887 0.94595
## Neg Pred Value 0.9812 0.97278 0.8722 0.98226
## Prevalence 0.2222 0.03993 0.7002 0.03762
## Detection Rate 0.2089 0.01331 0.6574 0.02025
## Detection Prevalence 0.2917 0.02199 0.6649 0.02141
## Balanced Accuracy 0.9169 0.66215 0.9569 0.76863
6)Support Vector Machine
library(kernlab)
#Build the model
model8<-ksvm(class~buying+maint+doors+persons+lug_boot+safety,data=car_eval)
#Summarize the model
summary(model8)
## Length Class Mode
## 1 ksvm S4
#Predict using the model
car_eval$pred_svm<-predict(model8,x,type="response")
#Accuracy of the model
mtab<-table(car_eval$pred_svm,car_eval$class)
confusionMatrix(mtab)
## Confusion Matrix and Statistics
##
##
## acc good unacc vgood
## acc 375 0 33 0
## good 8 60 3 0
## unacc 0 0 1174 0
## vgood 1 9 0 65
##
## Overall Statistics
##
## Accuracy : 0.9688
## 95% CI : (0.9594, 0.9764)
## No Information Rate : 0.7002
## P-Value [Acc > NIR] : < 2.2e-16
##
## Kappa : 0.9333
## Mcnemar's Test P-Value : NA
##
## Statistics by Class:
##
## Class: acc Class: good Class: unacc Class: vgood
## Sensitivity 0.9766 0.86957 0.9702 1.00000
## Specificity 0.9754 0.99337 1.0000 0.99399
## Pos Pred Value 0.9191 0.84507 1.0000 0.86667
## Neg Pred Value 0.9932 0.99457 0.9350 1.00000
## Prevalence 0.2222 0.03993 0.7002 0.03762
## Detection Rate 0.2170 0.03472 0.6794 0.03762
## Detection Prevalence 0.2361 0.04109 0.6794 0.04340
## Balanced Accuracy 0.9760 0.93147 0.9851 0.99699
7)k-Nearest Neighbors
library(caret)
#Build the model
model9<-knn3(class~buying+maint+doors+persons+lug_boot+safety,data=car_eval,k=5)
#Summarize the model
summary(model9)
## Length Class Mode
## learn 2 -none- list
## k 1 -none- numeric
## terms 3 terms call
## xlevels 6 -none- list
## theDots 0 -none- list
#Predict using the model
car_eval$pred_knn<-predict(model9,x,type="class")
#Accuracy of the model
mtab<-table(car_eval$pred_knn,car_eval$class)
confusionMatrix(mtab)
## Confusion Matrix and Statistics
##
##
## acc good unacc vgood
## acc 336 43 11 18
## good 6 17 0 4
## unacc 41 6 1199 0
## vgood 1 3 0 43
##
## Overall Statistics
##
## Accuracy : 0.923
## 95% CI : (0.9094, 0.9352)
## No Information Rate : 0.7002
## P-Value [Acc > NIR] : < 2.2e-16
##
## Kappa : 0.8255
## Mcnemar's Test P-Value : NA
##
## Statistics by Class:
##
## Class: acc Class: good Class: unacc Class: vgood
## Sensitivity 0.8750 0.246377 0.9909 0.66154
## Specificity 0.9464 0.993972 0.9093 0.99759
## Pos Pred Value 0.8235 0.629630 0.9623 0.91489
## Neg Pred Value 0.9636 0.969430 0.9772 0.98691
## Prevalence 0.2222 0.039931 0.7002 0.03762
## Detection Rate 0.1944 0.009838 0.6939 0.02488
## Detection Prevalence 0.2361 0.015625 0.7211 0.02720
## Balanced Accuracy 0.9107 0.620175 0.9501 0.82957
8)Naive Bayes
library(e1071)
#Build the model
model10<-naiveBayes(class~buying+maint+doors+persons+lug_boot+safety,data=car_eval,k=5)
#Summarize the model
summary(model10)
## Length Class Mode
## apriori 4 table numeric
## tables 6 -none- list
## levels 4 -none- character
## call 5 -none- call
#Predict using the model
car_eval$pred_naive<-predict(model10,x)
#Accuracy of the model
mtab<-table(car_eval$pred_naive,car_eval$class)
confusionMatrix(mtab)
## Confusion Matrix and Statistics
##
##
## acc good unacc vgood
## acc 289 46 47 26
## good 10 21 2 0
## unacc 85 0 1161 0
## vgood 0 2 0 39
##
## Overall Statistics
##
## Accuracy : 0.8738
## 95% CI : (0.8573, 0.8891)
## No Information Rate : 0.7002
## P-Value [Acc > NIR] : < 2.2e-16
##
## Kappa : 0.7139
## Mcnemar's Test P-Value : NA
##
## Statistics by Class:
##
## Class: acc Class: good Class: unacc Class: vgood
## Sensitivity 0.7526 0.30435 0.9595 0.60000
## Specificity 0.9115 0.99277 0.8359 0.99880
## Pos Pred Value 0.7083 0.63636 0.9318 0.95122
## Neg Pred Value 0.9280 0.97168 0.8983 0.98459
## Prevalence 0.2222 0.03993 0.7002 0.03762
## Detection Rate 0.1672 0.01215 0.6719 0.02257
## Detection Prevalence 0.2361 0.01910 0.7211 0.02373
## Balanced Accuracy 0.8320 0.64856 0.8977 0.79940
C)Non-Linear Classification with Decision Trees
1)Classification and Regression Trees(CART)
library(rpart)
#Build the model
model11<-rpart(class~buying+maint+doors+persons+lug_boot+safety,data=car_eval)
#Summarize the model
summary(model11)
## Call:
## rpart(formula = class ~ buying + maint + doors + persons + lug_boot +
## safety, data = car_eval)
## n= 1728
##
## CP nsplit rel error xerror xstd
## 1 0.12934363 0 1.0000000 1.0000000 0.03676681
## 2 0.11583012 2 0.7413127 0.8957529 0.03556566
## 3 0.04054054 4 0.5096525 0.5096525 0.02887160
## 4 0.03088803 7 0.3880309 0.4227799 0.02669716
## 5 0.02702703 9 0.3262548 0.3436293 0.02439351
## 6 0.02316602 10 0.2992278 0.3127413 0.02339116
## 7 0.01737452 12 0.2528958 0.2644788 0.02168172
## 8 0.01544402 14 0.2181467 0.2471042 0.02101664
## 9 0.01000000 16 0.1872587 0.1872587 0.01847189
##
## Variable importance
## safety maint persons buying lug_boot
## 39 21 20 10 10
##
## Node number 1: 1728 observations, complexity param=0.1293436
## predicted class=unacc expected loss=0.2997685 P(node) =1
## class counts: 384 69 1210 65
## probabilities: 0.222 0.040 0.700 0.038
## left son=2 (1152 obs) right son=3 (576 obs)
## Primary splits:
## persons splits as RLL, improve=122.906800, (0 missing)
## safety splits as LRL, improve=122.906800, (0 missing)
## buying splits as RLLR, improve= 19.980320, (0 missing)
## maint splits as RLLR, improve= 15.177080, (0 missing)
## lug_boot splits as LLR, improve= 8.281829, (0 missing)
##
## Node number 2: 1152 observations, complexity param=0.1293436
## predicted class=unacc expected loss=0.4496528 P(node) =0.6666667
## class counts: 384 69 634 65
## probabilities: 0.333 0.060 0.550 0.056
## left son=4 (768 obs) right son=5 (384 obs)
## Primary splits:
## safety splits as LRL, improve=184.360200, (0 missing)
## buying splits as RLLR, improve= 29.970490, (0 missing)
## maint splits as RLLR, improve= 22.765630, (0 missing)
## lug_boot splits as LLR, improve= 12.422740, (0 missing)
## doors splits as RLLL, improve= 3.802662, (0 missing)
##
## Node number 3: 576 observations
## predicted class=unacc expected loss=0 P(node) =0.3333333
## class counts: 0 0 576 0
## probabilities: 0.000 0.000 1.000 0.000
##
## Node number 4: 768 observations, complexity param=0.1158301
## predicted class=acc expected loss=0.5 P(node) =0.4444444
## class counts: 384 69 250 65
## probabilities: 0.500 0.090 0.326 0.085
## left son=8 (384 obs) right son=9 (384 obs)
## Primary splits:
## buying splits as RLLR, improve=44.955730, (0 missing)
## maint splits as RLLR, improve=34.148440, (0 missing)
## lug_boot splits as LLR, improve=18.634110, (0 missing)
## safety splits as R-L, improve=14.690100, (0 missing)
## doors splits as RLLL, improve= 5.703993, (0 missing)
##
## Node number 5: 384 observations
## predicted class=unacc expected loss=0 P(node) =0.2222222
## class counts: 0 0 384 0
## probabilities: 0.000 0.000 1.000 0.000
##
## Node number 8: 384 observations, complexity param=0.04054054
## predicted class=acc expected loss=0.46875 P(node) =0.2222222
## class counts: 204 69 46 65
## probabilities: 0.531 0.180 0.120 0.169
## left son=16 (192 obs) right son=17 (192 obs)
## Primary splits:
## maint splits as LRRL, improve=34.546880, (0 missing)
## safety splits as R-L, improve=15.317710, (0 missing)
## lug_boot splits as RRL, improve=11.096350, (0 missing)
## buying splits as -RL-, improve= 3.838542, (0 missing)
## doors splits as RLLL, improve= 3.491319, (0 missing)
##
## Node number 9: 384 observations, complexity param=0.1158301
## predicted class=unacc expected loss=0.46875 P(node) =0.2222222
## class counts: 180 0 204 0
## probabilities: 0.469 0.000 0.531 0.000
## left son=18 (192 obs) right son=19 (192 obs)
## Primary splits:
## maint splits as RLLR, improve=60.750000, (0 missing)
## lug_boot splits as LLR, improve=14.648440, (0 missing)
## safety splits as L-R, improve=13.020830, (0 missing)
## buying splits as L--R, improve= 6.750000, (0 missing)
## doors splits as RLLL, improve= 2.777778, (0 missing)
##
## Node number 16: 192 observations, complexity param=0.01737452
## predicted class=acc expected loss=0.265625 P(node) =0.1111111
## class counts: 141 0 38 13
## probabilities: 0.734 0.000 0.198 0.068
## left son=32 (128 obs) right son=33 (64 obs)
## Primary splits:
## lug_boot splits as LLR, improve=10.067710, (0 missing)
## safety splits as L-R, improve= 7.072917, (0 missing)
## doors splits as RLLL, improve= 2.690972, (0 missing)
## buying splits as -RL-, improve= 1.447917, (0 missing)
## maint splits as R--L, improve= 1.447917, (0 missing)
##
## Node number 17: 192 observations, complexity param=0.04054054
## predicted class=good expected loss=0.640625 P(node) =0.1111111
## class counts: 63 69 8 52
## probabilities: 0.328 0.359 0.042 0.271
## left son=34 (96 obs) right son=35 (96 obs)
## Primary splits:
## safety splits as R-L, improve=24.135420, (0 missing)
## lug_boot splits as RRL, improve=12.395830, (0 missing)
## buying splits as -RL-, improve= 5.510417, (0 missing)
## maint splits as -RL-, improve= 5.510417, (0 missing)
## doors splits as LRRR, improve= 1.878472, (0 missing)
##
## Node number 18: 192 observations, complexity param=0.03088803
## predicted class=acc expected loss=0.25 P(node) =0.1111111
## class counts: 144 0 48 0
## probabilities: 0.750 0.000 0.250 0.000
## left son=36 (128 obs) right son=37 (64 obs)
## Primary splits:
## lug_boot splits as LLR, improve=18.750000, (0 missing)
## safety splits as L-R, improve=16.666670, (0 missing)
## doors splits as RLLL, improve= 3.555556, (0 missing)
##
## Node number 19: 192 observations, complexity param=0.02316602
## predicted class=unacc expected loss=0.1875 P(node) =0.1111111
## class counts: 36 0 156 0
## probabilities: 0.187 0.000 0.812 0.000
## left son=38 (96 obs) right son=39 (96 obs)
## Primary splits:
## buying splits as L--R, improve=13.5000000, (0 missing)
## maint splits as L--R, improve=13.5000000, (0 missing)
## lug_boot splits as LLR, improve= 1.1718750, (0 missing)
## safety splits as L-R, improve= 1.0416670, (0 missing)
## doors splits as RLLL, improve= 0.2222222, (0 missing)
##
## Node number 32: 128 observations
## predicted class=acc expected loss=0.171875 P(node) =0.07407407
## class counts: 106 0 9 13
## probabilities: 0.828 0.000 0.070 0.102
##
## Node number 33: 64 observations, complexity param=0.01737452
## predicted class=acc expected loss=0.453125 P(node) =0.03703704
## class counts: 35 0 29 0
## probabilities: 0.547 0.000 0.453 0.000
## left son=66 (32 obs) right son=67 (32 obs)
## Primary splits:
## safety splits as L-R, improve=13.78125, (0 missing)
## doors splits as RLLL, improve= 2.34375, (0 missing)
## buying splits as -LR-, improve= 1.53125, (0 missing)
## maint splits as L--R, improve= 1.53125, (0 missing)
## persons splits as -LR, improve= 0.78125, (0 missing)
##
## Node number 34: 96 observations, complexity param=0.02702703
## predicted class=acc expected loss=0.4479167 P(node) =0.05555556
## class counts: 53 39 4 0
## probabilities: 0.552 0.406 0.042 0.000
## left son=68 (32 obs) right son=69 (64 obs)
## Primary splits:
## lug_boot splits as RRL, improve=13.2604200, (0 missing)
## buying splits as -RL-, improve= 3.5208330, (0 missing)
## maint splits as -RL-, improve= 3.5208330, (0 missing)
## doors splits as RLLL, improve= 1.3125000, (0 missing)
## persons splits as -LR, improve= 0.7708333, (0 missing)
##
## Node number 35: 96 observations, complexity param=0.04054054
## predicted class=vgood expected loss=0.4583333 P(node) =0.05555556
## class counts: 10 30 4 52
## probabilities: 0.104 0.313 0.042 0.542
## left son=70 (32 obs) right son=71 (64 obs)
## Primary splits:
## lug_boot splits as RRL, improve=20.718750, (0 missing)
## buying splits as -RL-, improve= 2.083333, (0 missing)
## maint splits as -RL-, improve= 2.083333, (0 missing)
## doors splits as LLRR, improve= 2.083333, (0 missing)
## persons splits as -LR, improve= 0.750000, (0 missing)
##
## Node number 36: 128 observations
## predicted class=acc expected loss=0.09375 P(node) =0.07407407
## class counts: 116 0 12 0
## probabilities: 0.906 0.000 0.094 0.000
##
## Node number 37: 64 observations, complexity param=0.03088803
## predicted class=unacc expected loss=0.4375 P(node) =0.03703704
## class counts: 28 0 36 0
## probabilities: 0.438 0.000 0.563 0.000
## left son=74 (32 obs) right son=75 (32 obs)
## Primary splits:
## safety splits as L-R, improve=24.5, (0 missing)
## doors splits as RLLL, improve= 1.5, (0 missing)
## persons splits as -LR, improve= 0.5, (0 missing)
##
## Node number 38: 96 observations, complexity param=0.02316602
## predicted class=unacc expected loss=0.375 P(node) =0.05555556
## class counts: 36 0 60 0
## probabilities: 0.375 0.000 0.625 0.000
## left son=76 (48 obs) right son=77 (48 obs)
## Primary splits:
## maint splits as L--R, improve=27.0000000, (0 missing)
## lug_boot splits as LLR, improve= 2.3437500, (0 missing)
## safety splits as L-R, improve= 2.0833330, (0 missing)
## doors splits as RLLL, improve= 0.4444444, (0 missing)
##
## Node number 39: 96 observations
## predicted class=unacc expected loss=0 P(node) =0.05555556
## class counts: 0 0 96 0
## probabilities: 0.000 0.000 1.000 0.000
##
## Node number 66: 32 observations
## predicted class=acc expected loss=0.125 P(node) =0.01851852
## class counts: 28 0 4 0
## probabilities: 0.875 0.000 0.125 0.000
##
## Node number 67: 32 observations
## predicted class=unacc expected loss=0.21875 P(node) =0.01851852
## class counts: 7 0 25 0
## probabilities: 0.219 0.000 0.781 0.000
##
## Node number 68: 32 observations
## predicted class=acc expected loss=0.125 P(node) =0.01851852
## class counts: 28 0 4 0
## probabilities: 0.875 0.000 0.125 0.000
##
## Node number 69: 64 observations, complexity param=0.01544402
## predicted class=good expected loss=0.390625 P(node) =0.03703704
## class counts: 25 39 0 0
## probabilities: 0.391 0.609 0.000 0.000
## left son=138 (32 obs) right son=139 (32 obs)
## Primary splits:
## buying splits as -RL-, improve=5.28125, (0 missing)
## maint splits as -RL-, improve=5.28125, (0 missing)
## doors splits as LLRR, improve=2.53125, (0 missing)
## lug_boot splits as RL-, improve=2.53125, (0 missing)
## persons splits as -LR, improve=0.28125, (0 missing)
##
## Node number 70: 32 observations
## predicted class=good expected loss=0.34375 P(node) =0.01851852
## class counts: 7 21 4 0
## probabilities: 0.219 0.656 0.125 0.000
##
## Node number 71: 64 observations
## predicted class=vgood expected loss=0.1875 P(node) =0.03703704
## class counts: 3 9 0 52
## probabilities: 0.047 0.141 0.000 0.812
##
## Node number 74: 32 observations
## predicted class=acc expected loss=0.125 P(node) =0.01851852
## class counts: 28 0 4 0
## probabilities: 0.875 0.000 0.125 0.000
##
## Node number 75: 32 observations
## predicted class=unacc expected loss=0 P(node) =0.01851852
## class counts: 0 0 32 0
## probabilities: 0.000 0.000 1.000 0.000
##
## Node number 76: 48 observations
## predicted class=acc expected loss=0.25 P(node) =0.02777778
## class counts: 36 0 12 0
## probabilities: 0.750 0.000 0.250 0.000
##
## Node number 77: 48 observations
## predicted class=unacc expected loss=0 P(node) =0.02777778
## class counts: 0 0 48 0
## probabilities: 0.000 0.000 1.000 0.000
##
## Node number 138: 32 observations, complexity param=0.01544402
## predicted class=acc expected loss=0.40625 P(node) =0.01851852
## class counts: 19 13 0 0
## probabilities: 0.594 0.406 0.000 0.000
## left son=276 (16 obs) right son=277 (16 obs)
## Primary splits:
## maint splits as -RL-, improve=10.5625, (0 missing)
## doors splits as LLRR, improve= 0.5625, (0 missing)
## lug_boot splits as RL-, improve= 0.5625, (0 missing)
## persons splits as -LR, improve= 0.0625, (0 missing)
##
## Node number 139: 32 observations
## predicted class=good expected loss=0.1875 P(node) =0.01851852
## class counts: 6 26 0 0
## probabilities: 0.188 0.812 0.000 0.000
##
## Node number 276: 16 observations
## predicted class=acc expected loss=0 P(node) =0.009259259
## class counts: 16 0 0 0
## probabilities: 1.000 0.000 0.000 0.000
##
## Node number 277: 16 observations
## predicted class=good expected loss=0.1875 P(node) =0.009259259
## class counts: 3 13 0 0
## probabilities: 0.188 0.812 0.000 0.000
#Predict using the model
car_eval$pred_cart<-predict(model11,x,type="class")
#Accuracy of the model
mtab<-table(car_eval$pred_cart,car_eval$class)
confusionMatrix(mtab)
## Confusion Matrix and Statistics
##
##
## acc good unacc vgood
## acc 358 0 45 13
## good 16 60 4 0
## unacc 7 0 1161 0
## vgood 3 9 0 52
##
## Overall Statistics
##
## Accuracy : 0.9439
## 95% CI : (0.9319, 0.9542)
## No Information Rate : 0.7002
## P-Value [Acc > NIR] : < 2.2e-16
##
## Kappa : 0.8806
## Mcnemar's Test P-Value : NA
##
## Statistics by Class:
##
## Class: acc Class: good Class: unacc Class: vgood
## Sensitivity 0.9323 0.86957 0.9595 0.80000
## Specificity 0.9568 0.98794 0.9865 0.99278
## Pos Pred Value 0.8606 0.75000 0.9940 0.81250
## Neg Pred Value 0.9802 0.99454 0.9125 0.99219
## Prevalence 0.2222 0.03993 0.7002 0.03762
## Detection Rate 0.2072 0.03472 0.6719 0.03009
## Detection Prevalence 0.2407 0.04630 0.6759 0.03704
## Balanced Accuracy 0.9446 0.92875 0.9730 0.89639
2)C4.5
library(RWeka)
#Build the model
model12<-J48(class~buying+maint+doors+persons+lug_boot+safety,data=car_eval)
#Summarize the model
summary(model12)
##
## === Summary ===
##
## Correctly Classified Instances 1664 96.2963 %
## Incorrectly Classified Instances 64 3.7037 %
## Kappa statistic 0.9207
## Mean absolute error 0.0248
## Root mean squared error 0.1114
## Relative absolute error 10.8411 %
## Root relative squared error 32.9501 %
## Coverage of cases (0.95 level) 100 %
## Mean rel. region size (0.95 level) 29.0509 %
## Total Number of Instances 1728
##
## === Confusion Matrix ===
##
## a b c d <-- classified as
## 380 2 0 2 | a = acc
## 9 57 0 3 | b = good
## 35 3 1172 0 | c = unacc
## 4 6 0 55 | d = vgood
#Predict using the model
car_eval$pred_c45<-predict(model12,x)
#Accuracy of the model
mtab<-table(car_eval$pred_c45,car_eval$class)
confusionMatrix(mtab)
## Confusion Matrix and Statistics
##
##
## acc good unacc vgood
## acc 380 9 35 4
## good 2 57 3 6
## unacc 0 0 1172 0
## vgood 2 3 0 55
##
## Overall Statistics
##
## Accuracy : 0.963
## 95% CI : (0.9529, 0.9714)
## No Information Rate : 0.7002
## P-Value [Acc > NIR] : < 2.2e-16
##
## Kappa : 0.9207
## Mcnemar's Test P-Value : NA
##
## Statistics by Class:
##
## Class: acc Class: good Class: unacc Class: vgood
## Sensitivity 0.9896 0.82609 0.9686 0.84615
## Specificity 0.9643 0.99337 1.0000 0.99699
## Pos Pred Value 0.8879 0.83824 1.0000 0.91667
## Neg Pred Value 0.9969 0.99277 0.9317 0.99400
## Prevalence 0.2222 0.03993 0.7002 0.03762
## Detection Rate 0.2199 0.03299 0.6782 0.03183
## Detection Prevalence 0.2477 0.03935 0.6782 0.03472
## Balanced Accuracy 0.9769 0.90973 0.9843 0.92157
3)PART
library(RWeka)
#Build the model
model13<-PART(class~buying+maint+doors+persons+lug_boot+safety,data=car_eval)
#Summarize the model
summary(model13)
##
## === Summary ===
##
## Correctly Classified Instances 1698 98.2639 %
## Incorrectly Classified Instances 30 1.7361 %
## Kappa statistic 0.9622
## Mean absolute error 0.0127
## Root mean squared error 0.0795
## Relative absolute error 5.5245 %
## Root relative squared error 23.5216 %
## Coverage of cases (0.95 level) 100 %
## Mean rel. region size (0.95 level) 26.8374 %
## Total Number of Instances 1728
##
## === Confusion Matrix ===
##
## a b c d <-- classified as
## 374 1 6 3 | a = acc
## 3 63 1 2 | b = good
## 13 1 1196 0 | c = unacc
## 0 0 0 65 | d = vgood
#Predict using the model
car_eval$pred_part<-predict(model13,x)
#Accuracy of the model
mtab<-table(car_eval$pred_part,car_eval$class)
confusionMatrix(mtab)
## Confusion Matrix and Statistics
##
##
## acc good unacc vgood
## acc 374 3 13 0
## good 1 63 1 0
## unacc 6 1 1196 0
## vgood 3 2 0 65
##
## Overall Statistics
##
## Accuracy : 0.9826
## 95% CI : (0.9753, 0.9883)
## No Information Rate : 0.7002
## P-Value [Acc > NIR] : < 2.2e-16
##
## Kappa : 0.9622
## Mcnemar's Test P-Value : NA
##
## Statistics by Class:
##
## Class: acc Class: good Class: unacc Class: vgood
## Sensitivity 0.9740 0.91304 0.9884 1.00000
## Specificity 0.9881 0.99879 0.9865 0.99699
## Pos Pred Value 0.9590 0.96923 0.9942 0.92857
## Neg Pred Value 0.9925 0.99639 0.9733 1.00000
## Prevalence 0.2222 0.03993 0.7002 0.03762
## Detection Rate 0.2164 0.03646 0.6921 0.03762
## Detection Prevalence 0.2257 0.03762 0.6962 0.04051
## Balanced Accuracy 0.9810 0.95592 0.9875 0.99850
4)Bagging CART
library(ipred)
#Build the model
model14<-bagging(class~buying+maint+doors+persons+lug_boot+safety,data=car_eval)
#Summarize the model
summary(model14)
##
## Bagging classification trees with 25 bootstrap replications
##
## Call: bagging.data.frame(formula = class ~ buying + maint + doors +
## persons + lug_boot + safety, data = car_eval)
## $y
## [1] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
## [12] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
## [23] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
## [34] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
## [45] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
## [56] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
## [67] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
## [78] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
## [89] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
## [100] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
## [111] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
## [122] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
## [133] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
## [144] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
## [155] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
## [166] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
## [177] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
## [188] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
## [199] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
## [210] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
## [221] unacc unacc unacc unacc unacc unacc unacc acc unacc unacc acc
## [232] unacc acc acc unacc unacc unacc unacc unacc acc unacc acc
## [243] acc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
## [254] unacc acc unacc unacc acc unacc acc acc unacc unacc acc
## [265] unacc acc acc unacc acc acc unacc unacc unacc unacc unacc
## [276] unacc unacc unacc unacc unacc unacc acc unacc acc acc unacc
## [287] acc acc unacc unacc acc unacc acc acc unacc acc acc
## [298] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
## [309] acc unacc acc acc unacc acc acc unacc unacc acc unacc
## [320] acc acc unacc acc acc unacc unacc unacc unacc unacc unacc
## [331] unacc unacc unacc unacc unacc acc unacc unacc acc unacc acc
## [342] acc unacc unacc unacc unacc unacc acc unacc acc acc unacc
## [353] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc acc
## [364] unacc unacc acc unacc acc acc unacc unacc acc unacc acc
## [375] acc unacc acc acc unacc unacc unacc unacc unacc unacc unacc
## [386] unacc unacc unacc unacc acc unacc acc acc unacc acc acc
## [397] unacc unacc acc unacc acc acc unacc acc acc unacc unacc
## [408] unacc unacc unacc unacc unacc unacc unacc unacc unacc acc unacc
## [419] acc acc unacc acc acc unacc unacc acc unacc acc acc
## [430] unacc acc acc unacc unacc unacc unacc unacc unacc unacc unacc
## [441] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
## [452] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
## [463] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
## [474] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
## [485] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
## [496] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
## [507] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
## [518] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
## [529] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
## [540] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
## [551] unacc acc unacc unacc acc unacc acc acc unacc unacc unacc
## [562] unacc unacc acc unacc acc acc unacc unacc unacc unacc unacc
## [573] unacc unacc unacc unacc unacc unacc acc unacc unacc acc unacc
## [584] acc acc unacc unacc acc unacc acc acc unacc acc acc
## [595] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
## [606] acc unacc acc acc unacc acc acc unacc unacc acc unacc
## [617] acc acc unacc acc acc unacc unacc unacc unacc unacc unacc
## [628] unacc unacc unacc unacc unacc acc unacc acc acc unacc acc
## [639] acc unacc unacc acc unacc acc acc unacc acc acc unacc
## [650] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc acc
## [661] unacc unacc acc unacc acc acc unacc unacc unacc unacc unacc
## [672] acc unacc acc acc unacc unacc unacc unacc unacc unacc unacc
## [683] unacc unacc unacc unacc acc unacc unacc acc unacc acc acc
## [694] unacc unacc acc unacc acc acc unacc acc acc unacc unacc
## [705] unacc unacc unacc unacc unacc unacc unacc unacc unacc acc unacc
## [716] acc acc unacc acc acc unacc unacc acc unacc acc acc
## [727] unacc acc acc unacc unacc unacc unacc unacc unacc unacc unacc
## [738] unacc unacc unacc acc unacc acc acc unacc acc acc unacc
## [749] unacc acc unacc acc acc unacc acc acc unacc unacc unacc
## [760] unacc unacc unacc unacc unacc unacc unacc unacc acc unacc unacc
## [771] acc unacc acc acc unacc unacc unacc unacc unacc acc unacc
## [782] acc acc unacc unacc unacc unacc unacc unacc unacc unacc unacc
## [793] unacc unacc acc unacc unacc acc unacc acc acc unacc unacc
## [804] acc unacc acc acc unacc acc acc unacc unacc unacc unacc
## [815] unacc unacc unacc unacc unacc unacc unacc acc unacc acc acc
## [826] unacc acc acc unacc unacc acc unacc acc acc unacc acc
## [837] acc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
## [848] unacc acc unacc acc acc unacc acc acc unacc unacc acc
## [859] unacc acc acc unacc acc acc unacc unacc unacc unacc unacc
## [870] unacc unacc unacc unacc unacc unacc acc unacc unacc acc unacc
## [881] acc acc unacc unacc unacc unacc unacc acc unacc acc acc
## [892] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
## [903] acc unacc unacc acc unacc acc acc unacc unacc acc unacc
## [914] acc acc unacc acc acc unacc unacc unacc unacc unacc unacc
## [925] unacc unacc unacc unacc unacc acc unacc acc acc unacc acc
## [936] acc unacc unacc acc unacc acc acc unacc acc acc unacc
## [947] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc acc
## [958] unacc acc acc unacc acc acc unacc unacc acc unacc acc
## [969] acc unacc acc acc unacc unacc unacc unacc unacc unacc unacc
## [980] unacc unacc unacc unacc acc unacc unacc acc unacc acc acc
## [991] unacc unacc unacc unacc unacc acc unacc acc acc unacc unacc
## [1002] unacc unacc unacc unacc unacc unacc unacc unacc unacc acc unacc
## [1013] unacc acc unacc acc acc unacc unacc acc unacc acc acc
## [1024] unacc acc acc unacc unacc unacc unacc unacc unacc unacc unacc
## [1035] unacc unacc unacc acc unacc acc acc unacc acc acc unacc
## [1046] unacc acc unacc acc acc unacc acc acc unacc unacc unacc
## [1057] unacc unacc unacc unacc unacc unacc unacc unacc acc unacc acc
## [1068] acc unacc acc acc unacc unacc acc unacc acc acc unacc
## [1079] acc acc unacc unacc unacc unacc unacc unacc unacc unacc unacc
## [1090] unacc acc acc unacc acc acc unacc acc vgood unacc unacc
## [1101] unacc unacc acc acc unacc acc vgood unacc unacc unacc unacc
## [1112] unacc unacc unacc unacc unacc unacc acc acc unacc acc acc
## [1123] unacc acc vgood unacc acc acc unacc acc vgood unacc acc
## [1134] vgood unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
## [1145] acc acc unacc acc vgood unacc acc vgood unacc acc acc
## [1156] unacc acc vgood unacc acc vgood unacc unacc unacc unacc unacc
## [1167] unacc unacc unacc unacc unacc acc acc unacc acc vgood unacc
## [1178] acc vgood unacc acc acc unacc acc vgood unacc acc vgood
## [1189] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc acc
## [1200] good unacc acc good unacc good vgood unacc unacc unacc unacc
## [1211] acc good unacc good vgood unacc unacc unacc unacc unacc unacc
## [1222] unacc unacc unacc unacc acc good unacc acc good unacc good
## [1233] vgood unacc acc good unacc good vgood unacc good vgood unacc
## [1244] unacc unacc unacc unacc unacc unacc unacc unacc unacc acc good
## [1255] unacc good vgood unacc good vgood unacc acc good unacc good
## [1266] vgood unacc good vgood unacc unacc unacc unacc unacc unacc unacc
## [1277] unacc unacc unacc acc good unacc good vgood unacc good vgood
## [1288] unacc acc good unacc good vgood unacc good vgood unacc unacc
## [1299] unacc unacc unacc unacc unacc unacc unacc unacc unacc acc unacc
## [1310] unacc acc unacc acc acc unacc unacc unacc unacc unacc acc
## [1321] unacc acc acc unacc unacc unacc unacc unacc unacc unacc unacc
## [1332] unacc unacc unacc acc unacc unacc acc unacc acc acc unacc
## [1343] unacc acc unacc acc acc unacc acc acc unacc unacc unacc
## [1354] unacc unacc unacc unacc unacc unacc unacc unacc acc unacc acc
## [1365] acc unacc acc acc unacc unacc acc unacc acc acc unacc
## [1376] acc acc unacc unacc unacc unacc unacc unacc unacc unacc unacc
## [1387] unacc unacc acc unacc acc acc unacc acc acc unacc unacc
## [1398] acc unacc acc acc unacc acc acc unacc unacc unacc unacc
## [1409] unacc unacc unacc unacc unacc unacc acc acc unacc acc acc
## [1420] unacc acc vgood unacc unacc unacc unacc acc acc unacc acc
## [1431] vgood unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
## [1442] acc acc unacc acc acc unacc acc vgood unacc acc acc
## [1453] unacc acc vgood unacc acc vgood unacc unacc unacc unacc unacc
## [1464] unacc unacc unacc unacc unacc acc acc unacc acc vgood unacc
## [1475] acc vgood unacc acc acc unacc acc vgood unacc acc vgood
## [1486] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc acc
## [1497] acc unacc acc vgood unacc acc vgood unacc acc acc unacc
## [1508] acc vgood unacc acc vgood unacc unacc unacc unacc unacc unacc
## [1519] unacc unacc unacc unacc acc good unacc acc good unacc good
## [1530] vgood unacc unacc unacc unacc acc good unacc good vgood unacc
## [1541] unacc unacc unacc unacc unacc unacc unacc unacc unacc acc good
## [1552] unacc acc good unacc good vgood unacc acc good unacc good
## [1563] vgood unacc good vgood unacc unacc unacc unacc unacc unacc unacc
## [1574] unacc unacc unacc acc good unacc good vgood unacc good vgood
## [1585] unacc acc good unacc good vgood unacc good vgood unacc unacc
## [1596] unacc unacc unacc unacc unacc unacc unacc unacc acc good unacc
## [1607] good vgood unacc good vgood unacc acc good unacc good vgood
## [1618] unacc good vgood unacc unacc unacc unacc unacc unacc unacc unacc
## [1629] unacc unacc acc good unacc acc good unacc good vgood unacc
## [1640] unacc unacc unacc acc good unacc good vgood unacc unacc unacc
## [1651] unacc unacc unacc unacc unacc unacc unacc acc good unacc acc
## [1662] good unacc good vgood unacc acc good unacc good vgood unacc
## [1673] good vgood unacc unacc unacc unacc unacc unacc unacc unacc unacc
## [1684] unacc acc good unacc good vgood unacc good vgood unacc acc
## [1695] good unacc good vgood unacc good vgood unacc unacc unacc unacc
## [1706] unacc unacc unacc unacc unacc unacc acc good unacc good vgood
## [1717] unacc good vgood unacc acc good unacc good vgood unacc good
## [1728] vgood
## Levels: acc good unacc vgood
##
## $X
## buying maint doors persons lug_boot safety
## 1 vhigh vhigh 2 2 small low
## 2 vhigh vhigh 2 2 small med
## 3 vhigh vhigh 2 2 small high
## 4 vhigh vhigh 2 2 med low
## 5 vhigh vhigh 2 2 med med
## 6 vhigh vhigh 2 2 med high
## 7 vhigh vhigh 2 2 big low
## 8 vhigh vhigh 2 2 big med
## 9 vhigh vhigh 2 2 big high
## 10 vhigh vhigh 2 4 small low
## 11 vhigh vhigh 2 4 small med
## 12 vhigh vhigh 2 4 small high
## 13 vhigh vhigh 2 4 med low
## 14 vhigh vhigh 2 4 med med
## 15 vhigh vhigh 2 4 med high
## 16 vhigh vhigh 2 4 big low
## 17 vhigh vhigh 2 4 big med
## 18 vhigh vhigh 2 4 big high
## 19 vhigh vhigh 2 more small low
## 20 vhigh vhigh 2 more small med
## 21 vhigh vhigh 2 more small high
## 22 vhigh vhigh 2 more med low
## 23 vhigh vhigh 2 more med med
## 24 vhigh vhigh 2 more med high
## 25 vhigh vhigh 2 more big low
## 26 vhigh vhigh 2 more big med
## 27 vhigh vhigh 2 more big high
## 28 vhigh vhigh 3 2 small low
## 29 vhigh vhigh 3 2 small med
## 30 vhigh vhigh 3 2 small high
## 31 vhigh vhigh 3 2 med low
## 32 vhigh vhigh 3 2 med med
## 33 vhigh vhigh 3 2 med high
## 34 vhigh vhigh 3 2 big low
## 35 vhigh vhigh 3 2 big med
## 36 vhigh vhigh 3 2 big high
## 37 vhigh vhigh 3 4 small low
## 38 vhigh vhigh 3 4 small med
## 39 vhigh vhigh 3 4 small high
## 40 vhigh vhigh 3 4 med low
## 41 vhigh vhigh 3 4 med med
## 42 vhigh vhigh 3 4 med high
## 43 vhigh vhigh 3 4 big low
## 44 vhigh vhigh 3 4 big med
## 45 vhigh vhigh 3 4 big high
## 46 vhigh vhigh 3 more small low
## 47 vhigh vhigh 3 more small med
## 48 vhigh vhigh 3 more small high
## 49 vhigh vhigh 3 more med low
## 50 vhigh vhigh 3 more med med
## 51 vhigh vhigh 3 more med high
## 52 vhigh vhigh 3 more big low
## 53 vhigh vhigh 3 more big med
## 54 vhigh vhigh 3 more big high
## 55 vhigh vhigh 4 2 small low
## 56 vhigh vhigh 4 2 small med
## 57 vhigh vhigh 4 2 small high
## 58 vhigh vhigh 4 2 med low
## 59 vhigh vhigh 4 2 med med
## 60 vhigh vhigh 4 2 med high
## 61 vhigh vhigh 4 2 big low
## 62 vhigh vhigh 4 2 big med
## 63 vhigh vhigh 4 2 big high
## 64 vhigh vhigh 4 4 small low
## 65 vhigh vhigh 4 4 small med
## 66 vhigh vhigh 4 4 small high
## 67 vhigh vhigh 4 4 med low
## 68 vhigh vhigh 4 4 med med
## 69 vhigh vhigh 4 4 med high
## 70 vhigh vhigh 4 4 big low
## 71 vhigh vhigh 4 4 big med
## 72 vhigh vhigh 4 4 big high
## 73 vhigh vhigh 4 more small low
## 74 vhigh vhigh 4 more small med
## 75 vhigh vhigh 4 more small high
## 76 vhigh vhigh 4 more med low
## 77 vhigh vhigh 4 more med med
## 78 vhigh vhigh 4 more med high
## 79 vhigh vhigh 4 more big low
## 80 vhigh vhigh 4 more big med
## 81 vhigh vhigh 4 more big high
## 82 vhigh vhigh 5more 2 small low
## 83 vhigh vhigh 5more 2 small med
## 84 vhigh vhigh 5more 2 small high
## 85 vhigh vhigh 5more 2 med low
## 86 vhigh vhigh 5more 2 med med
## 87 vhigh vhigh 5more 2 med high
## 88 vhigh vhigh 5more 2 big low
## 89 vhigh vhigh 5more 2 big med
## 90 vhigh vhigh 5more 2 big high
## 91 vhigh vhigh 5more 4 small low
## 92 vhigh vhigh 5more 4 small med
## 93 vhigh vhigh 5more 4 small high
## 94 vhigh vhigh 5more 4 med low
## 95 vhigh vhigh 5more 4 med med
## 96 vhigh vhigh 5more 4 med high
## 97 vhigh vhigh 5more 4 big low
## 98 vhigh vhigh 5more 4 big med
## 99 vhigh vhigh 5more 4 big high
## 100 vhigh vhigh 5more more small low
## 101 vhigh vhigh 5more more small med
## 102 vhigh vhigh 5more more small high
## 103 vhigh vhigh 5more more med low
## 104 vhigh vhigh 5more more med med
## 105 vhigh vhigh 5more more med high
## 106 vhigh vhigh 5more more big low
## 107 vhigh vhigh 5more more big med
## 108 vhigh vhigh 5more more big high
## 109 vhigh high 2 2 small low
## 110 vhigh high 2 2 small med
## 111 vhigh high 2 2 small high
## 112 vhigh high 2 2 med low
## 113 vhigh high 2 2 med med
## 114 vhigh high 2 2 med high
## 115 vhigh high 2 2 big low
## 116 vhigh high 2 2 big med
## 117 vhigh high 2 2 big high
## 118 vhigh high 2 4 small low
## 119 vhigh high 2 4 small med
## 120 vhigh high 2 4 small high
## 121 vhigh high 2 4 med low
## 122 vhigh high 2 4 med med
## 123 vhigh high 2 4 med high
## 124 vhigh high 2 4 big low
## 125 vhigh high 2 4 big med
## 126 vhigh high 2 4 big high
## 127 vhigh high 2 more small low
## 128 vhigh high 2 more small med
## 129 vhigh high 2 more small high
## 130 vhigh high 2 more med low
## 131 vhigh high 2 more med med
## 132 vhigh high 2 more med high
## 133 vhigh high 2 more big low
## 134 vhigh high 2 more big med
## 135 vhigh high 2 more big high
## 136 vhigh high 3 2 small low
## 137 vhigh high 3 2 small med
## 138 vhigh high 3 2 small high
## 139 vhigh high 3 2 med low
## 140 vhigh high 3 2 med med
## 141 vhigh high 3 2 med high
## 142 vhigh high 3 2 big low
## 143 vhigh high 3 2 big med
## 144 vhigh high 3 2 big high
## 145 vhigh high 3 4 small low
## 146 vhigh high 3 4 small med
## 147 vhigh high 3 4 small high
## 148 vhigh high 3 4 med low
## 149 vhigh high 3 4 med med
## 150 vhigh high 3 4 med high
## 151 vhigh high 3 4 big low
## 152 vhigh high 3 4 big med
## 153 vhigh high 3 4 big high
## 154 vhigh high 3 more small low
## 155 vhigh high 3 more small med
## 156 vhigh high 3 more small high
## 157 vhigh high 3 more med low
## 158 vhigh high 3 more med med
## 159 vhigh high 3 more med high
## 160 vhigh high 3 more big low
## 161 vhigh high 3 more big med
## 162 vhigh high 3 more big high
## 163 vhigh high 4 2 small low
## 164 vhigh high 4 2 small med
## 165 vhigh high 4 2 small high
## 166 vhigh high 4 2 med low
## 167 vhigh high 4 2 med med
## 168 vhigh high 4 2 med high
## 169 vhigh high 4 2 big low
## 170 vhigh high 4 2 big med
## 171 vhigh high 4 2 big high
## 172 vhigh high 4 4 small low
## 173 vhigh high 4 4 small med
## 174 vhigh high 4 4 small high
## 175 vhigh high 4 4 med low
## 176 vhigh high 4 4 med med
## 177 vhigh high 4 4 med high
## 178 vhigh high 4 4 big low
## 179 vhigh high 4 4 big med
## 180 vhigh high 4 4 big high
## 181 vhigh high 4 more small low
## 182 vhigh high 4 more small med
## 183 vhigh high 4 more small high
## 184 vhigh high 4 more med low
## 185 vhigh high 4 more med med
## 186 vhigh high 4 more med high
## 187 vhigh high 4 more big low
## 188 vhigh high 4 more big med
## 189 vhigh high 4 more big high
## 190 vhigh high 5more 2 small low
## 191 vhigh high 5more 2 small med
## 192 vhigh high 5more 2 small high
## 193 vhigh high 5more 2 med low
## 194 vhigh high 5more 2 med med
## 195 vhigh high 5more 2 med high
## 196 vhigh high 5more 2 big low
## 197 vhigh high 5more 2 big med
## 198 vhigh high 5more 2 big high
## 199 vhigh high 5more 4 small low
## 200 vhigh high 5more 4 small med
## 201 vhigh high 5more 4 small high
## 202 vhigh high 5more 4 med low
## 203 vhigh high 5more 4 med med
## 204 vhigh high 5more 4 med high
## 205 vhigh high 5more 4 big low
## 206 vhigh high 5more 4 big med
## 207 vhigh high 5more 4 big high
## 208 vhigh high 5more more small low
## 209 vhigh high 5more more small med
## 210 vhigh high 5more more small high
## 211 vhigh high 5more more med low
## 212 vhigh high 5more more med med
## 213 vhigh high 5more more med high
## 214 vhigh high 5more more big low
## 215 vhigh high 5more more big med
## 216 vhigh high 5more more big high
## 217 vhigh med 2 2 small low
## 218 vhigh med 2 2 small med
## 219 vhigh med 2 2 small high
## 220 vhigh med 2 2 med low
## 221 vhigh med 2 2 med med
## 222 vhigh med 2 2 med high
## 223 vhigh med 2 2 big low
## 224 vhigh med 2 2 big med
## 225 vhigh med 2 2 big high
## 226 vhigh med 2 4 small low
## 227 vhigh med 2 4 small med
## 228 vhigh med 2 4 small high
## 229 vhigh med 2 4 med low
## 230 vhigh med 2 4 med med
## 231 vhigh med 2 4 med high
## 232 vhigh med 2 4 big low
## 233 vhigh med 2 4 big med
## 234 vhigh med 2 4 big high
## 235 vhigh med 2 more small low
## 236 vhigh med 2 more small med
## 237 vhigh med 2 more small high
## 238 vhigh med 2 more med low
## 239 vhigh med 2 more med med
## 240 vhigh med 2 more med high
## 241 vhigh med 2 more big low
## 242 vhigh med 2 more big med
## 243 vhigh med 2 more big high
## 244 vhigh med 3 2 small low
## 245 vhigh med 3 2 small med
## 246 vhigh med 3 2 small high
## 247 vhigh med 3 2 med low
## 248 vhigh med 3 2 med med
## 249 vhigh med 3 2 med high
## 250 vhigh med 3 2 big low
## 251 vhigh med 3 2 big med
## 252 vhigh med 3 2 big high
## 253 vhigh med 3 4 small low
## 254 vhigh med 3 4 small med
## 255 vhigh med 3 4 small high
## 256 vhigh med 3 4 med low
## 257 vhigh med 3 4 med med
## 258 vhigh med 3 4 med high
## 259 vhigh med 3 4 big low
## 260 vhigh med 3 4 big med
## 261 vhigh med 3 4 big high
## 262 vhigh med 3 more small low
## 263 vhigh med 3 more small med
## 264 vhigh med 3 more small high
## 265 vhigh med 3 more med low
## 266 vhigh med 3 more med med
## 267 vhigh med 3 more med high
## 268 vhigh med 3 more big low
## 269 vhigh med 3 more big med
## 270 vhigh med 3 more big high
## 271 vhigh med 4 2 small low
## 272 vhigh med 4 2 small med
## 273 vhigh med 4 2 small high
## 274 vhigh med 4 2 med low
## 275 vhigh med 4 2 med med
## 276 vhigh med 4 2 med high
## 277 vhigh med 4 2 big low
## 278 vhigh med 4 2 big med
## 279 vhigh med 4 2 big high
## 280 vhigh med 4 4 small low
## 281 vhigh med 4 4 small med
## 282 vhigh med 4 4 small high
## 283 vhigh med 4 4 med low
## 284 vhigh med 4 4 med med
## 285 vhigh med 4 4 med high
## 286 vhigh med 4 4 big low
## 287 vhigh med 4 4 big med
## 288 vhigh med 4 4 big high
## 289 vhigh med 4 more small low
## 290 vhigh med 4 more small med
## 291 vhigh med 4 more small high
## 292 vhigh med 4 more med low
## 293 vhigh med 4 more med med
## 294 vhigh med 4 more med high
## 295 vhigh med 4 more big low
## 296 vhigh med 4 more big med
## 297 vhigh med 4 more big high
## 298 vhigh med 5more 2 small low
## 299 vhigh med 5more 2 small med
## 300 vhigh med 5more 2 small high
## 301 vhigh med 5more 2 med low
## 302 vhigh med 5more 2 med med
## 303 vhigh med 5more 2 med high
## 304 vhigh med 5more 2 big low
## 305 vhigh med 5more 2 big med
## 306 vhigh med 5more 2 big high
## 307 vhigh med 5more 4 small low
## 308 vhigh med 5more 4 small med
## 309 vhigh med 5more 4 small high
## 310 vhigh med 5more 4 med low
## 311 vhigh med 5more 4 med med
## 312 vhigh med 5more 4 med high
## 313 vhigh med 5more 4 big low
## 314 vhigh med 5more 4 big med
## 315 vhigh med 5more 4 big high
## 316 vhigh med 5more more small low
## 317 vhigh med 5more more small med
## 318 vhigh med 5more more small high
## 319 vhigh med 5more more med low
## 320 vhigh med 5more more med med
## 321 vhigh med 5more more med high
## 322 vhigh med 5more more big low
## 323 vhigh med 5more more big med
## 324 vhigh med 5more more big high
## 325 vhigh low 2 2 small low
## 326 vhigh low 2 2 small med
## 327 vhigh low 2 2 small high
## 328 vhigh low 2 2 med low
## 329 vhigh low 2 2 med med
## 330 vhigh low 2 2 med high
## 331 vhigh low 2 2 big low
## 332 vhigh low 2 2 big med
## 333 vhigh low 2 2 big high
## 334 vhigh low 2 4 small low
## 335 vhigh low 2 4 small med
## 336 vhigh low 2 4 small high
## 337 vhigh low 2 4 med low
## 338 vhigh low 2 4 med med
## 339 vhigh low 2 4 med high
## 340 vhigh low 2 4 big low
## 341 vhigh low 2 4 big med
## 342 vhigh low 2 4 big high
## 343 vhigh low 2 more small low
## 344 vhigh low 2 more small med
## 345 vhigh low 2 more small high
## 346 vhigh low 2 more med low
## 347 vhigh low 2 more med med
## 348 vhigh low 2 more med high
## 349 vhigh low 2 more big low
## 350 vhigh low 2 more big med
## 351 vhigh low 2 more big high
## 352 vhigh low 3 2 small low
## 353 vhigh low 3 2 small med
## 354 vhigh low 3 2 small high
## 355 vhigh low 3 2 med low
## 356 vhigh low 3 2 med med
## 357 vhigh low 3 2 med high
## 358 vhigh low 3 2 big low
## 359 vhigh low 3 2 big med
## 360 vhigh low 3 2 big high
## 361 vhigh low 3 4 small low
## 362 vhigh low 3 4 small med
## 363 vhigh low 3 4 small high
## 364 vhigh low 3 4 med low
## 365 vhigh low 3 4 med med
## 366 vhigh low 3 4 med high
## 367 vhigh low 3 4 big low
## 368 vhigh low 3 4 big med
## 369 vhigh low 3 4 big high
## 370 vhigh low 3 more small low
## 371 vhigh low 3 more small med
## 372 vhigh low 3 more small high
## 373 vhigh low 3 more med low
## 374 vhigh low 3 more med med
## 375 vhigh low 3 more med high
## 376 vhigh low 3 more big low
## 377 vhigh low 3 more big med
## 378 vhigh low 3 more big high
## 379 vhigh low 4 2 small low
## 380 vhigh low 4 2 small med
## 381 vhigh low 4 2 small high
## 382 vhigh low 4 2 med low
## 383 vhigh low 4 2 med med
## 384 vhigh low 4 2 med high
## 385 vhigh low 4 2 big low
## 386 vhigh low 4 2 big med
## 387 vhigh low 4 2 big high
## 388 vhigh low 4 4 small low
## 389 vhigh low 4 4 small med
## 390 vhigh low 4 4 small high
## 391 vhigh low 4 4 med low
## 392 vhigh low 4 4 med med
## 393 vhigh low 4 4 med high
## 394 vhigh low 4 4 big low
## 395 vhigh low 4 4 big med
## 396 vhigh low 4 4 big high
## 397 vhigh low 4 more small low
## 398 vhigh low 4 more small med
## 399 vhigh low 4 more small high
## 400 vhigh low 4 more med low
## 401 vhigh low 4 more med med
## 402 vhigh low 4 more med high
## 403 vhigh low 4 more big low
## 404 vhigh low 4 more big med
## 405 vhigh low 4 more big high
## 406 vhigh low 5more 2 small low
## 407 vhigh low 5more 2 small med
## 408 vhigh low 5more 2 small high
## 409 vhigh low 5more 2 med low
## 410 vhigh low 5more 2 med med
## 411 vhigh low 5more 2 med high
## 412 vhigh low 5more 2 big low
## 413 vhigh low 5more 2 big med
## 414 vhigh low 5more 2 big high
## 415 vhigh low 5more 4 small low
## 416 vhigh low 5more 4 small med
## 417 vhigh low 5more 4 small high
## 418 vhigh low 5more 4 med low
## 419 vhigh low 5more 4 med med
## 420 vhigh low 5more 4 med high
## 421 vhigh low 5more 4 big low
## 422 vhigh low 5more 4 big med
## 423 vhigh low 5more 4 big high
## 424 vhigh low 5more more small low
## 425 vhigh low 5more more small med
## 426 vhigh low 5more more small high
## 427 vhigh low 5more more med low
## 428 vhigh low 5more more med med
## 429 vhigh low 5more more med high
## 430 vhigh low 5more more big low
## 431 vhigh low 5more more big med
## 432 vhigh low 5more more big high
## 433 high vhigh 2 2 small low
## 434 high vhigh 2 2 small med
## 435 high vhigh 2 2 small high
## 436 high vhigh 2 2 med low
## 437 high vhigh 2 2 med med
## 438 high vhigh 2 2 med high
## 439 high vhigh 2 2 big low
## 440 high vhigh 2 2 big med
## 441 high vhigh 2 2 big high
## 442 high vhigh 2 4 small low
## 443 high vhigh 2 4 small med
## 444 high vhigh 2 4 small high
## 445 high vhigh 2 4 med low
## 446 high vhigh 2 4 med med
## 447 high vhigh 2 4 med high
## 448 high vhigh 2 4 big low
## 449 high vhigh 2 4 big med
## 450 high vhigh 2 4 big high
## 451 high vhigh 2 more small low
## 452 high vhigh 2 more small med
## 453 high vhigh 2 more small high
## 454 high vhigh 2 more med low
## 455 high vhigh 2 more med med
## 456 high vhigh 2 more med high
## 457 high vhigh 2 more big low
## 458 high vhigh 2 more big med
## 459 high vhigh 2 more big high
## 460 high vhigh 3 2 small low
## 461 high vhigh 3 2 small med
## 462 high vhigh 3 2 small high
## 463 high vhigh 3 2 med low
## 464 high vhigh 3 2 med med
## 465 high vhigh 3 2 med high
## 466 high vhigh 3 2 big low
## 467 high vhigh 3 2 big med
## 468 high vhigh 3 2 big high
## 469 high vhigh 3 4 small low
## 470 high vhigh 3 4 small med
## 471 high vhigh 3 4 small high
## 472 high vhigh 3 4 med low
## 473 high vhigh 3 4 med med
## 474 high vhigh 3 4 med high
## 475 high vhigh 3 4 big low
## 476 high vhigh 3 4 big med
## 477 high vhigh 3 4 big high
## 478 high vhigh 3 more small low
## 479 high vhigh 3 more small med
## 480 high vhigh 3 more small high
## 481 high vhigh 3 more med low
## 482 high vhigh 3 more med med
## 483 high vhigh 3 more med high
## 484 high vhigh 3 more big low
## 485 high vhigh 3 more big med
## 486 high vhigh 3 more big high
## 487 high vhigh 4 2 small low
## 488 high vhigh 4 2 small med
## 489 high vhigh 4 2 small high
## 490 high vhigh 4 2 med low
## 491 high vhigh 4 2 med med
## 492 high vhigh 4 2 med high
## 493 high vhigh 4 2 big low
## 494 high vhigh 4 2 big med
## 495 high vhigh 4 2 big high
## 496 high vhigh 4 4 small low
## 497 high vhigh 4 4 small med
## 498 high vhigh 4 4 small high
## 499 high vhigh 4 4 med low
## 500 high vhigh 4 4 med med
## 501 high vhigh 4 4 med high
## 502 high vhigh 4 4 big low
## 503 high vhigh 4 4 big med
## 504 high vhigh 4 4 big high
## 505 high vhigh 4 more small low
## 506 high vhigh 4 more small med
## 507 high vhigh 4 more small high
## 508 high vhigh 4 more med low
## 509 high vhigh 4 more med med
## 510 high vhigh 4 more med high
## 511 high vhigh 4 more big low
## 512 high vhigh 4 more big med
## 513 high vhigh 4 more big high
## 514 high vhigh 5more 2 small low
## 515 high vhigh 5more 2 small med
## 516 high vhigh 5more 2 small high
## 517 high vhigh 5more 2 med low
## 518 high vhigh 5more 2 med med
## 519 high vhigh 5more 2 med high
## 520 high vhigh 5more 2 big low
## 521 high vhigh 5more 2 big med
## 522 high vhigh 5more 2 big high
## 523 high vhigh 5more 4 small low
## 524 high vhigh 5more 4 small med
## 525 high vhigh 5more 4 small high
## 526 high vhigh 5more 4 med low
## 527 high vhigh 5more 4 med med
## 528 high vhigh 5more 4 med high
## 529 high vhigh 5more 4 big low
## 530 high vhigh 5more 4 big med
## 531 high vhigh 5more 4 big high
## 532 high vhigh 5more more small low
## 533 high vhigh 5more more small med
## 534 high vhigh 5more more small high
## 535 high vhigh 5more more med low
## 536 high vhigh 5more more med med
## 537 high vhigh 5more more med high
## 538 high vhigh 5more more big low
## 539 high vhigh 5more more big med
## 540 high vhigh 5more more big high
## 541 high high 2 2 small low
## 542 high high 2 2 small med
## 543 high high 2 2 small high
## 544 high high 2 2 med low
## 545 high high 2 2 med med
## 546 high high 2 2 med high
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## 548 high high 2 2 big med
## 549 high high 2 2 big high
## 550 high high 2 4 small low
## 551 high high 2 4 small med
## 552 high high 2 4 small high
## 553 high high 2 4 med low
## 554 high high 2 4 med med
## 555 high high 2 4 med high
## 556 high high 2 4 big low
## 557 high high 2 4 big med
## 558 high high 2 4 big high
## 559 high high 2 more small low
## 560 high high 2 more small med
## 561 high high 2 more small high
## 562 high high 2 more med low
## 563 high high 2 more med med
## 564 high high 2 more med high
## 565 high high 2 more big low
## 566 high high 2 more big med
## 567 high high 2 more big high
## 568 high high 3 2 small low
## 569 high high 3 2 small med
## 570 high high 3 2 small high
## 571 high high 3 2 med low
## 572 high high 3 2 med med
## 573 high high 3 2 med high
## 574 high high 3 2 big low
## 575 high high 3 2 big med
## 576 high high 3 2 big high
## 577 high high 3 4 small low
## 578 high high 3 4 small med
## 579 high high 3 4 small high
## 580 high high 3 4 med low
## 581 high high 3 4 med med
## 582 high high 3 4 med high
## 583 high high 3 4 big low
## 584 high high 3 4 big med
## 585 high high 3 4 big high
## 586 high high 3 more small low
## 587 high high 3 more small med
## 588 high high 3 more small high
## 589 high high 3 more med low
## 590 high high 3 more med med
## 591 high high 3 more med high
## 592 high high 3 more big low
## 593 high high 3 more big med
## 594 high high 3 more big high
## 595 high high 4 2 small low
## 596 high high 4 2 small med
## 597 high high 4 2 small high
## 598 high high 4 2 med low
## 599 high high 4 2 med med
## 600 high high 4 2 med high
## 601 high high 4 2 big low
## 602 high high 4 2 big med
## 603 high high 4 2 big high
## 604 high high 4 4 small low
## 605 high high 4 4 small med
## 606 high high 4 4 small high
## 607 high high 4 4 med low
## 608 high high 4 4 med med
## 609 high high 4 4 med high
## 610 high high 4 4 big low
## 611 high high 4 4 big med
## 612 high high 4 4 big high
## 613 high high 4 more small low
## 614 high high 4 more small med
## 615 high high 4 more small high
## 616 high high 4 more med low
## 617 high high 4 more med med
## 618 high high 4 more med high
## 619 high high 4 more big low
## 620 high high 4 more big med
## 621 high high 4 more big high
## 622 high high 5more 2 small low
## 623 high high 5more 2 small med
## 624 high high 5more 2 small high
## 625 high high 5more 2 med low
## 626 high high 5more 2 med med
## 627 high high 5more 2 med high
## 628 high high 5more 2 big low
## 629 high high 5more 2 big med
## 630 high high 5more 2 big high
## 631 high high 5more 4 small low
## 632 high high 5more 4 small med
## 633 high high 5more 4 small high
## 634 high high 5more 4 med low
## 635 high high 5more 4 med med
## 636 high high 5more 4 med high
## 637 high high 5more 4 big low
## 638 high high 5more 4 big med
## 639 high high 5more 4 big high
## 640 high high 5more more small low
## 641 high high 5more more small med
## 642 high high 5more more small high
## 643 high high 5more more med low
## 644 high high 5more more med med
## 645 high high 5more more med high
## 646 high high 5more more big low
## 647 high high 5more more big med
## 648 high high 5more more big high
## 649 high med 2 2 small low
## 650 high med 2 2 small med
## 651 high med 2 2 small high
## 652 high med 2 2 med low
## 653 high med 2 2 med med
## 654 high med 2 2 med high
## 655 high med 2 2 big low
## 656 high med 2 2 big med
## 657 high med 2 2 big high
## 658 high med 2 4 small low
## 659 high med 2 4 small med
## 660 high med 2 4 small high
## 661 high med 2 4 med low
## 662 high med 2 4 med med
## 663 high med 2 4 med high
## 664 high med 2 4 big low
## 665 high med 2 4 big med
## 666 high med 2 4 big high
## 667 high med 2 more small low
## 668 high med 2 more small med
## 669 high med 2 more small high
## 670 high med 2 more med low
## 671 high med 2 more med med
## 672 high med 2 more med high
## 673 high med 2 more big low
## 674 high med 2 more big med
## 675 high med 2 more big high
## 676 high med 3 2 small low
## 677 high med 3 2 small med
## 678 high med 3 2 small high
## 679 high med 3 2 med low
## 680 high med 3 2 med med
## 681 high med 3 2 med high
## 682 high med 3 2 big low
## 683 high med 3 2 big med
## 684 high med 3 2 big high
## 685 high med 3 4 small low
## 686 high med 3 4 small med
## 687 high med 3 4 small high
## 688 high med 3 4 med low
## 689 high med 3 4 med med
## 690 high med 3 4 med high
## 691 high med 3 4 big low
## 692 high med 3 4 big med
## 693 high med 3 4 big high
## 694 high med 3 more small low
## 695 high med 3 more small med
## 696 high med 3 more small high
## 697 high med 3 more med low
## 698 high med 3 more med med
## 699 high med 3 more med high
## 700 high med 3 more big low
## 701 high med 3 more big med
## 702 high med 3 more big high
## 703 high med 4 2 small low
## 704 high med 4 2 small med
## 705 high med 4 2 small high
## 706 high med 4 2 med low
## 707 high med 4 2 med med
## 708 high med 4 2 med high
## 709 high med 4 2 big low
## 710 high med 4 2 big med
## 711 high med 4 2 big high
## 712 high med 4 4 small low
## 713 high med 4 4 small med
## 714 high med 4 4 small high
## 715 high med 4 4 med low
## 716 high med 4 4 med med
## 717 high med 4 4 med high
## 718 high med 4 4 big low
## 719 high med 4 4 big med
## 720 high med 4 4 big high
## 721 high med 4 more small low
## 722 high med 4 more small med
## 723 high med 4 more small high
## 724 high med 4 more med low
## 725 high med 4 more med med
## 726 high med 4 more med high
## 727 high med 4 more big low
## 728 high med 4 more big med
## 729 high med 4 more big high
## 730 high med 5more 2 small low
## 731 high med 5more 2 small med
## 732 high med 5more 2 small high
## 733 high med 5more 2 med low
## 734 high med 5more 2 med med
## 735 high med 5more 2 med high
## 736 high med 5more 2 big low
## 737 high med 5more 2 big med
## 738 high med 5more 2 big high
## 739 high med 5more 4 small low
## 740 high med 5more 4 small med
## 741 high med 5more 4 small high
## 742 high med 5more 4 med low
## 743 high med 5more 4 med med
## 744 high med 5more 4 med high
## 745 high med 5more 4 big low
## 746 high med 5more 4 big med
## 747 high med 5more 4 big high
## 748 high med 5more more small low
## 749 high med 5more more small med
## 750 high med 5more more small high
## 751 high med 5more more med low
## 752 high med 5more more med med
## 753 high med 5more more med high
## 754 high med 5more more big low
## 755 high med 5more more big med
## 756 high med 5more more big high
## 757 high low 2 2 small low
## 758 high low 2 2 small med
## 759 high low 2 2 small high
## 760 high low 2 2 med low
## 761 high low 2 2 med med
## 762 high low 2 2 med high
## 763 high low 2 2 big low
## 764 high low 2 2 big med
## 765 high low 2 2 big high
## 766 high low 2 4 small low
## 767 high low 2 4 small med
## 768 high low 2 4 small high
## 769 high low 2 4 med low
## 770 high low 2 4 med med
## 771 high low 2 4 med high
## 772 high low 2 4 big low
## 773 high low 2 4 big med
## 774 high low 2 4 big high
## 775 high low 2 more small low
## 776 high low 2 more small med
## 777 high low 2 more small high
## 778 high low 2 more med low
## 779 high low 2 more med med
## 780 high low 2 more med high
## 781 high low 2 more big low
## 782 high low 2 more big med
## 783 high low 2 more big high
## 784 high low 3 2 small low
## 785 high low 3 2 small med
## 786 high low 3 2 small high
## 787 high low 3 2 med low
## 788 high low 3 2 med med
## 789 high low 3 2 med high
## 790 high low 3 2 big low
## 791 high low 3 2 big med
## 792 high low 3 2 big high
## 793 high low 3 4 small low
## 794 high low 3 4 small med
## 795 high low 3 4 small high
## 796 high low 3 4 med low
## 797 high low 3 4 med med
## 798 high low 3 4 med high
## 799 high low 3 4 big low
## 800 high low 3 4 big med
## 801 high low 3 4 big high
## 802 high low 3 more small low
## 803 high low 3 more small med
## 804 high low 3 more small high
## 805 high low 3 more med low
## 806 high low 3 more med med
## 807 high low 3 more med high
## 808 high low 3 more big low
## 809 high low 3 more big med
## 810 high low 3 more big high
## 811 high low 4 2 small low
## 812 high low 4 2 small med
## 813 high low 4 2 small high
## 814 high low 4 2 med low
## 815 high low 4 2 med med
## 816 high low 4 2 med high
## 817 high low 4 2 big low
## 818 high low 4 2 big med
## 819 high low 4 2 big high
## 820 high low 4 4 small low
## 821 high low 4 4 small med
## 822 high low 4 4 small high
## 823 high low 4 4 med low
## 824 high low 4 4 med med
## 825 high low 4 4 med high
## 826 high low 4 4 big low
## 827 high low 4 4 big med
## 828 high low 4 4 big high
## 829 high low 4 more small low
## 830 high low 4 more small med
## 831 high low 4 more small high
## 832 high low 4 more med low
## 833 high low 4 more med med
## 834 high low 4 more med high
## 835 high low 4 more big low
## 836 high low 4 more big med
## 837 high low 4 more big high
## 838 high low 5more 2 small low
## 839 high low 5more 2 small med
## 840 high low 5more 2 small high
## 841 high low 5more 2 med low
## 842 high low 5more 2 med med
## 843 high low 5more 2 med high
## 844 high low 5more 2 big low
## 845 high low 5more 2 big med
## 846 high low 5more 2 big high
## 847 high low 5more 4 small low
## 848 high low 5more 4 small med
## 849 high low 5more 4 small high
## 850 high low 5more 4 med low
## 851 high low 5more 4 med med
## 852 high low 5more 4 med high
## 853 high low 5more 4 big low
## 854 high low 5more 4 big med
## 855 high low 5more 4 big high
## 856 high low 5more more small low
## 857 high low 5more more small med
## 858 high low 5more more small high
## 859 high low 5more more med low
## 860 high low 5more more med med
## 861 high low 5more more med high
## 862 high low 5more more big low
## 863 high low 5more more big med
## 864 high low 5more more big high
## 865 med vhigh 2 2 small low
## 866 med vhigh 2 2 small med
## 867 med vhigh 2 2 small high
## 868 med vhigh 2 2 med low
## 869 med vhigh 2 2 med med
## 870 med vhigh 2 2 med high
## 871 med vhigh 2 2 big low
## 872 med vhigh 2 2 big med
## 873 med vhigh 2 2 big high
## 874 med vhigh 2 4 small low
## 875 med vhigh 2 4 small med
## 876 med vhigh 2 4 small high
## 877 med vhigh 2 4 med low
## 878 med vhigh 2 4 med med
## 879 med vhigh 2 4 med high
## 880 med vhigh 2 4 big low
## 881 med vhigh 2 4 big med
## 882 med vhigh 2 4 big high
## 883 med vhigh 2 more small low
## 884 med vhigh 2 more small med
## 885 med vhigh 2 more small high
## 886 med vhigh 2 more med low
## 887 med vhigh 2 more med med
## 888 med vhigh 2 more med high
## 889 med vhigh 2 more big low
## 890 med vhigh 2 more big med
## 891 med vhigh 2 more big high
## 892 med vhigh 3 2 small low
## 893 med vhigh 3 2 small med
## 894 med vhigh 3 2 small high
## 895 med vhigh 3 2 med low
## 896 med vhigh 3 2 med med
## 897 med vhigh 3 2 med high
## 898 med vhigh 3 2 big low
## 899 med vhigh 3 2 big med
## 900 med vhigh 3 2 big high
## 901 med vhigh 3 4 small low
## 902 med vhigh 3 4 small med
## 903 med vhigh 3 4 small high
## 904 med vhigh 3 4 med low
## 905 med vhigh 3 4 med med
## 906 med vhigh 3 4 med high
## 907 med vhigh 3 4 big low
## 908 med vhigh 3 4 big med
## 909 med vhigh 3 4 big high
## 910 med vhigh 3 more small low
## 911 med vhigh 3 more small med
## 912 med vhigh 3 more small high
## 913 med vhigh 3 more med low
## 914 med vhigh 3 more med med
## 915 med vhigh 3 more med high
## 916 med vhigh 3 more big low
## 917 med vhigh 3 more big med
## 918 med vhigh 3 more big high
## 919 med vhigh 4 2 small low
## 920 med vhigh 4 2 small med
## 921 med vhigh 4 2 small high
## 922 med vhigh 4 2 med low
## 923 med vhigh 4 2 med med
## 924 med vhigh 4 2 med high
## 925 med vhigh 4 2 big low
## 926 med vhigh 4 2 big med
## 927 med vhigh 4 2 big high
## 928 med vhigh 4 4 small low
## 929 med vhigh 4 4 small med
## 930 med vhigh 4 4 small high
## 931 med vhigh 4 4 med low
## 932 med vhigh 4 4 med med
## 933 med vhigh 4 4 med high
## 934 med vhigh 4 4 big low
## 935 med vhigh 4 4 big med
## 936 med vhigh 4 4 big high
## 937 med vhigh 4 more small low
## 938 med vhigh 4 more small med
## 939 med vhigh 4 more small high
## 940 med vhigh 4 more med low
## 941 med vhigh 4 more med med
## 942 med vhigh 4 more med high
## 943 med vhigh 4 more big low
## 944 med vhigh 4 more big med
## 945 med vhigh 4 more big high
## 946 med vhigh 5more 2 small low
## 947 med vhigh 5more 2 small med
## 948 med vhigh 5more 2 small high
## 949 med vhigh 5more 2 med low
## 950 med vhigh 5more 2 med med
## 951 med vhigh 5more 2 med high
## 952 med vhigh 5more 2 big low
## 953 med vhigh 5more 2 big med
## 954 med vhigh 5more 2 big high
## 955 med vhigh 5more 4 small low
## 956 med vhigh 5more 4 small med
## 957 med vhigh 5more 4 small high
## 958 med vhigh 5more 4 med low
## 959 med vhigh 5more 4 med med
## 960 med vhigh 5more 4 med high
## 961 med vhigh 5more 4 big low
## 962 med vhigh 5more 4 big med
## 963 med vhigh 5more 4 big high
## 964 med vhigh 5more more small low
## 965 med vhigh 5more more small med
## 966 med vhigh 5more more small high
## 967 med vhigh 5more more med low
## 968 med vhigh 5more more med med
## 969 med vhigh 5more more med high
## 970 med vhigh 5more more big low
## 971 med vhigh 5more more big med
## 972 med vhigh 5more more big high
## 973 med high 2 2 small low
## 974 med high 2 2 small med
## 975 med high 2 2 small high
## 976 med high 2 2 med low
## 977 med high 2 2 med med
## 978 med high 2 2 med high
## 979 med high 2 2 big low
## 980 med high 2 2 big med
## 981 med high 2 2 big high
## 982 med high 2 4 small low
## 983 med high 2 4 small med
## 984 med high 2 4 small high
## 985 med high 2 4 med low
## 986 med high 2 4 med med
## 987 med high 2 4 med high
## 988 med high 2 4 big low
## 989 med high 2 4 big med
## 990 med high 2 4 big high
## 991 med high 2 more small low
## 992 med high 2 more small med
## 993 med high 2 more small high
## 994 med high 2 more med low
## 995 med high 2 more med med
## 996 med high 2 more med high
## 997 med high 2 more big low
## 998 med high 2 more big med
## 999 med high 2 more big high
## 1000 med high 3 2 small low
## 1001 med high 3 2 small med
## 1002 med high 3 2 small high
## 1003 med high 3 2 med low
## 1004 med high 3 2 med med
## 1005 med high 3 2 med high
## 1006 med high 3 2 big low
## 1007 med high 3 2 big med
## 1008 med high 3 2 big high
## 1009 med high 3 4 small low
## 1010 med high 3 4 small med
## 1011 med high 3 4 small high
## 1012 med high 3 4 med low
## 1013 med high 3 4 med med
## 1014 med high 3 4 med high
## 1015 med high 3 4 big low
## 1016 med high 3 4 big med
## 1017 med high 3 4 big high
## 1018 med high 3 more small low
## 1019 med high 3 more small med
## 1020 med high 3 more small high
## 1021 med high 3 more med low
## 1022 med high 3 more med med
## 1023 med high 3 more med high
## 1024 med high 3 more big low
## 1025 med high 3 more big med
## 1026 med high 3 more big high
## 1027 med high 4 2 small low
## 1028 med high 4 2 small med
## 1029 med high 4 2 small high
## 1030 med high 4 2 med low
## 1031 med high 4 2 med med
## 1032 med high 4 2 med high
## 1033 med high 4 2 big low
## 1034 med high 4 2 big med
## 1035 med high 4 2 big high
## 1036 med high 4 4 small low
## 1037 med high 4 4 small med
## 1038 med high 4 4 small high
## 1039 med high 4 4 med low
## 1040 med high 4 4 med med
## 1041 med high 4 4 med high
## 1042 med high 4 4 big low
## 1043 med high 4 4 big med
## 1044 med high 4 4 big high
## 1045 med high 4 more small low
## 1046 med high 4 more small med
## 1047 med high 4 more small high
## 1048 med high 4 more med low
## 1049 med high 4 more med med
## 1050 med high 4 more med high
## 1051 med high 4 more big low
## 1052 med high 4 more big med
## 1053 med high 4 more big high
## 1054 med high 5more 2 small low
## 1055 med high 5more 2 small med
## 1056 med high 5more 2 small high
## 1057 med high 5more 2 med low
## 1058 med high 5more 2 med med
## 1059 med high 5more 2 med high
## 1060 med high 5more 2 big low
## 1061 med high 5more 2 big med
## 1062 med high 5more 2 big high
## 1063 med high 5more 4 small low
## 1064 med high 5more 4 small med
## 1065 med high 5more 4 small high
## 1066 med high 5more 4 med low
## 1067 med high 5more 4 med med
## 1068 med high 5more 4 med high
## 1069 med high 5more 4 big low
## 1070 med high 5more 4 big med
## 1071 med high 5more 4 big high
## 1072 med high 5more more small low
## 1073 med high 5more more small med
## 1074 med high 5more more small high
## 1075 med high 5more more med low
## 1076 med high 5more more med med
## 1077 med high 5more more med high
## 1078 med high 5more more big low
## 1079 med high 5more more big med
## 1080 med high 5more more big high
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## [ reached getOption("max.print") -- omitted 62 rows ]
##
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## $mtrees[[1]]
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## [664] 1489 738 834 962 1321 1233 1247 1220 1083 253 513 296 1326
## [677] 274 1271 1349 1184 431 1552 1196 1556 612 141 1607 566 1429
## [690] 500 812 484 1480 1684 1422 233 1324 1360 1167 1380 780 154
## [703] 1256 206 1070 664 1352 632 1027 1381 1401 1340 74 392 1023
## [716] 1648 32 1041 1067 1048 1200 784 92 1152 1647 1315 553 1216
## [729] 200 1357 1519 484 138 1211 842 593 304 626 46 1358 1656
## [742] 65 147 779 671 991 971 1052 908 623 143 713 351 1462
## [755] 670 533 334 388 1007 475 738 661 952 856 259 994 1042
## [768] 1499 334 1105 802 898 1482 235 787 1666 46 560 1613 420
## [781] 495 1159 1618 1171 722 1415 554 61 579 180 596 267 1325
## [794] 247 318 1204 185 710 412 1327 1263 449 1452 1571 1632 1291
## [807] 851 325 318 1410 11 1358 567 1048 1599 1636 476 1222 990
## [820] 1707 1360 1405 956 598 1448 277 1688 318 1698 860 1260 514
## [833] 937 1221 1117 10 698 1679 1672 443 1369 1491 1214 898 1681
## [846] 1244 311 641 49 482 239 428 752 1148 1291 1455 970 621
## [859] 405 964 835 982 1198 1541 16 336 1023 1664 860 100 360
## [872] 416 1004 896 1094 1397 493 152 1524 1256 554 155 441 729
## [885] 587 466 80 1065 1250 1530 1435 1354 1398 1342 1543 290 1132
## [898] 1267 120 448 160 1565 206 651 755 788 1487 534 53 1295
## [911] 1149 301 819 1586 1038 989 1067 1164 1306 1556 820 604 1400
## [924] 1631 180 324 1501 1686 1723 672 1085 1483 48 1120 1391 251
## [937] 1583 1595 1203 1290 1558 1627 640 121 1420 982 917 287 1205
## [950] 640 1711 17 705 459 703 1387 1479 818 1367 1325 1419 302
## [963] 962 436 1091 1156 1433 1363 663 692 589 1295 611 987 1685
## [976] 399 544 1241 688 875 969 923 1669 762 1577 1638 340 44
## [989] 350 1660 556 999 1397 1240 526 454 1018 796 705 750 490
## [1002] 476 59 344 130 119 133 564 139 1356 1685 1004 1273 1678
## [1015] 131 1017 14 528 520 527 145 1356 1259 1595 752 1565 394
## [1028] 1386 641 636 547 1675 887 938 224 167 685 760 1647 1396
## [1041] 1256 195 1623 361 42 390 919 1246 1239 1524 1143 1487 97
## [1054] 1365 118 117 1507 124 300 775 1167 1285 140 516 1195 913
## [1067] 1536 397 1689 159 308 103 114 928 530 474 145 1202 1184
## [1080] 1454 738 877 1566 609 53 974 687 1206 1371 570 96 1265
## [1093] 1683 391 412 507 1154 1082 1570 831 1601 374 1641 1644 831
## [1106] 1466 1318 638 806 1196 1628 1136 906 804 306 758 551 1363
## [1119] 292 1097 74 3 420 812 575 755 1143 1011 1565 210 651
## [1132] 1314 887 1207 1343 1487 200 1653 219 1426 257 1163 604 1191
## [1145] 1602 89 746 429 714 110 1477 1594 392 135 1191 1560 625
## [1158] 499 1398 581 959 277 1639 866 756 162 1622 1549 405 894
## [1171] 283 236 1007 408 538 1109 905 485 344 424 1138 1364 496
## [1184] 23 1687 1144 807 261 1572 1728 38 671 667 1709 321 299
## [1197] 641 884 1473 472 501 457 1327 1001 300 181 1725 1210 764
## [1210] 919 994 640 58 112 245 21 239 1454 98 863 1641 753
## [1223] 1128 46 102 1026 384 1355 1707 1310 73 1261 587 556 1084
## [1236] 319 130 1596 1077 131 796 1529 620 945 1337 205 35 617
## [1249] 1645 1044 732 876 1256 1678 531 1144 683 672 304 448 1374
## [1262] 31 77 344 1348 443 1390 115 810 1716 529 890 542 621
## [1275] 1131 1269 380 380 251 1454 161 113 562 70 1248 1267 1569
## [1288] 1473 1325 928 750 1369 921 627 463 947 337 1667 203 526
## [1301] 200 1664 1635 1538 1506 759 879 1120 1720 49 952 1073 1079
## [1314] 778 1627 684 1594 1178 1470 1354 722 834 95 160 1319 970
## [1327] 1241 58 285 1343 429 1300 644 352 94 1674 1158 789 447
## [1340] 1637 1061 1460 659 1060 1410 1223 236 1505 1327 1488 1716 805
## [1353] 1227 45 879 1561 1556 1594 622 130 1086 247 1486 394 502
## [1366] 670 650 366 1620 229 761 1653 1642 1666 1393 795 1301 900
## [1379] 1599 1341 968 512 465 534 153 621 1461 929 333 1568 1275
## [1392] 371 748 1234 806 1096 966 1563 751 1487 372 721 25 125
## [1405] 1348 764 1452 621 1533 1220 63 1200 1048 1710 219 1048 447
## [1418] 650 584 1328 1300 1485 39 739 1386 1119 1567 468 946 731
## [1431] 26 978 1078 1371 421 879 336 1492 1068 1626 1084 1588 318
## [1444] 1148 1184 385 894 1481 1072 1126 1635 61 1605 1198 1497 1363
## [1457] 330 1248 56 804 1620 992 1560 912 1342 696 52 58 749
## [1470] 322 621 1095 519 985 933 1602 390 327 353 1505 1297 923
## [1483] 294 422 1520 1425 1172 1719 1221 876 794 186 1137 162 339
## [1496] 638 918 725 1259 681 125 1726 1162 1604 1134 457 1196 1196
## [1509] 511 715 1728 52 630 783 777 1199 413 128 545 1023 1640
## [1522] 961 1724 289 1211 950 53 640 638 694 1494 435 1411 1207
## [1535] 1162 670 317 209 286 866 625 331 744 377 668 840 257
## [1548] 959 1466 1563 211 303 605 199 1399 1615 1359 1640 6 1619
## [1561] 1348 836 392 1435 1404 602 1392 400 753 978 303 825 740
## [1574] 978 1609 1514 264 881 700 1569 807 1429 974 1096 119 247
## [1587] 218 745 525 270 763 1614 1021 1185 639 1512 207 497 96
## [1600] 1426 226 495 1007 1650 550 1453 1218 1538 931 727 471 246
## [1613] 150 246 1367 32 124 309 518 513 1501 1711 254 731 1668
## [1626] 260 1456 1697 806 1091 689 1487 1426 28 1627 861 1056 1519
## [1639] 362 108 143 1151 511 218 181 189 285 1668 1023 1167 120
## [1652] 1296 697 279 368 1456 537 1196 1075 281 1365 736 243 318
## [1665] 788 576 1533 573 264 963 45 252 754 1258 119 114 1298
## [1678] 1123 36 1630 989 1105 704 1519 1233 895 1214 1078 229 1591
## [1691] 34 21 56 543 380 523 1318 538 1392 746 1072 175 1710
## [1704] 1100 930 1278 115 1016 1032 105 223 517 633 838 1446 420
## [1717] 201 1513 1618 1493 1726 948 1031 94 472 1411 378 926
##
## $btree
## n= 1728
##
## node), split, n, loss, yval, (yprob)
## * denotes terminal node
##
## 1) root 1728 507 unacc (0.20601852 0.04976852 0.70659722 0.03761574)
## 2) safety=high,med 1138 507 unacc (0.31282953 0.07557118 0.55448155 0.05711775)
## 4) persons=4,more 758 402 acc (0.46965699 0.11345646 0.33113456 0.08575198)
## 8) buying=low,med 370 191 acc (0.48378378 0.23243243 0.10810811 0.17567568)
## 16) maint=high,vhigh 175 45 acc (0.74285714 0.00000000 0.17142857 0.08571429)
## 32) lug_boot=big,med 118 21 acc (0.82203390 0.00000000 0.05084746 0.12711864)
## 64) buying=med 61 3 acc (0.95081967 0.00000000 0.04918033 0.00000000)
## 128) safety=high 34 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 129) safety=med 27 3 acc (0.88888889 0.00000000 0.11111111 0.00000000)
## 258) lug_boot=big 17 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 259) lug_boot=med 10 3 acc (0.70000000 0.00000000 0.30000000 0.00000000)
## 518) doors=5more 7 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 519) doors=2,3 3 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 65) buying=low 57 18 acc (0.68421053 0.00000000 0.05263158 0.26315789)
## 130) maint=vhigh 28 3 acc (0.89285714 0.00000000 0.10714286 0.00000000)
## 260) doors=3,4,5more 24 1 acc (0.95833333 0.00000000 0.04166667 0.00000000)
## 520) doors=4,5more 16 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 521) doors=3 8 1 acc (0.87500000 0.00000000 0.12500000 0.00000000)
## 1042) lug_boot=big 6 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1043) lug_boot=med 2 1 acc (0.50000000 0.00000000 0.50000000 0.00000000)
## 2086) safety=high 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2087) safety=med 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 261) doors=2 4 2 acc (0.50000000 0.00000000 0.50000000 0.00000000)
## 522) lug_boot=big 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 523) lug_boot=med 2 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 131) maint=high 29 14 vgood (0.48275862 0.00000000 0.00000000 0.51724138)
## 262) safety=med 11 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 263) safety=high 18 3 vgood (0.16666667 0.00000000 0.00000000 0.83333333)
## 526) doors=2,3 6 3 acc (0.50000000 0.00000000 0.00000000 0.50000000)
## 1052) lug_boot=med 4 1 acc (0.75000000 0.00000000 0.00000000 0.25000000)
## 2104) doors=2 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2105) doors=3 2 1 acc (0.50000000 0.00000000 0.00000000 0.50000000)
## 4210) persons=4 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 4211) persons=more 1 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 1053) lug_boot=big 2 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 527) doors=4,5more 12 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 33) lug_boot=small 57 24 acc (0.57894737 0.00000000 0.42105263 0.00000000)
## 66) safety=high 31 3 acc (0.90322581 0.00000000 0.09677419 0.00000000)
## 132) doors=3,4,5more 25 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 133) doors=2 6 3 acc (0.50000000 0.00000000 0.50000000 0.00000000)
## 266) persons=4 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 267) persons=more 3 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 67) safety=med 26 5 unacc (0.19230769 0.00000000 0.80769231 0.00000000)
## 134) maint=high 10 5 acc (0.50000000 0.00000000 0.50000000 0.00000000)
## 268) buying=low 5 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 269) buying=med 5 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 135) maint=vhigh 16 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 17) maint=low,med 195 109 good (0.25128205 0.44102564 0.05128205 0.25641026)
## 34) safety=med 95 46 good (0.44210526 0.51578947 0.04210526 0.00000000)
## 68) lug_boot=small 26 4 acc (0.84615385 0.00000000 0.15384615 0.00000000)
## 136) doors=3,4,5more 16 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 137) doors=2 10 4 acc (0.60000000 0.00000000 0.40000000 0.00000000)
## 274) persons=4 6 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 275) persons=more 4 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 69) lug_boot=big,med 69 20 good (0.28985507 0.71014493 0.00000000 0.00000000)
## 138) buying=med 38 19 acc (0.50000000 0.50000000 0.00000000 0.00000000)
## 276) maint=med 16 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 277) maint=low 22 3 good (0.13636364 0.86363636 0.00000000 0.00000000)
## 554) doors=2 7 3 good (0.42857143 0.57142857 0.00000000 0.00000000)
## 1108) lug_boot=med 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1109) lug_boot=big 4 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 555) doors=3,4,5more 15 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 139) buying=low 31 1 good (0.03225806 0.96774194 0.00000000 0.00000000)
## 278) doors=2 7 1 good (0.14285714 0.85714286 0.00000000 0.00000000)
## 556) lug_boot=med 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 557) lug_boot=big 6 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 279) doors=3,4,5more 24 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 35) safety=high 100 50 vgood (0.07000000 0.37000000 0.06000000 0.50000000)
## 70) lug_boot=small 37 10 good (0.10810811 0.72972973 0.16216216 0.00000000)
## 140) doors=3,4,5more 24 4 good (0.16666667 0.83333333 0.00000000 0.00000000)
## 280) buying=med 10 4 good (0.40000000 0.60000000 0.00000000 0.00000000)
## 560) maint=med 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 561) maint=low 6 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 281) buying=low 14 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 141) doors=2 13 6 good (0.00000000 0.53846154 0.46153846 0.00000000)
## 282) persons=4 7 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 283) persons=more 6 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 71) lug_boot=big,med 63 13 vgood (0.04761905 0.15873016 0.00000000 0.79365079)
## 142) doors=2 17 8 good (0.11764706 0.52941176 0.00000000 0.35294118)
## 284) lug_boot=med 11 2 good (0.18181818 0.81818182 0.00000000 0.00000000)
## 568) buying=med 4 2 acc (0.50000000 0.50000000 0.00000000 0.00000000)
## 1136) maint=med 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1137) maint=low 2 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 569) buying=low 7 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 285) lug_boot=big 6 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 143) doors=3,4,5more 46 2 vgood (0.02173913 0.02173913 0.00000000 0.95652174)
## 286) doors=3 18 2 vgood (0.05555556 0.05555556 0.00000000 0.88888889)
## 572) persons=4 6 2 vgood (0.16666667 0.16666667 0.00000000 0.66666667)
## 1144) lug_boot=med 2 1 acc (0.50000000 0.50000000 0.00000000 0.00000000)
## 2288) buying=med 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2289) buying=low 1 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 1145) lug_boot=big 4 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 573) persons=more 12 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 287) doors=4,5more 28 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 9) buying=high,vhigh 388 177 unacc (0.45618557 0.00000000 0.54381443 0.00000000)
## 18) maint=low,med 193 49 acc (0.74611399 0.00000000 0.25388601 0.00000000)
## 36) safety=high 98 3 acc (0.96938776 0.00000000 0.03061224 0.00000000)
## 72) doors=3,4,5more 81 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 73) doors=2 17 3 acc (0.82352941 0.00000000 0.17647059 0.00000000)
## 146) lug_boot=big,med 10 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 147) lug_boot=small 7 3 acc (0.57142857 0.00000000 0.42857143 0.00000000)
## 294) persons=4 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 295) persons=more 3 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 37) safety=med 95 46 acc (0.51578947 0.00000000 0.48421053 0.00000000)
## 74) lug_boot=big,med 64 15 acc (0.76562500 0.00000000 0.23437500 0.00000000)
## 148) doors=3,4,5more 48 5 acc (0.89583333 0.00000000 0.10416667 0.00000000)
## 296) doors=4,5more 30 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 297) doors=3 18 5 acc (0.72222222 0.00000000 0.27777778 0.00000000)
## 594) persons=more 9 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 595) persons=4 9 4 unacc (0.44444444 0.00000000 0.55555556 0.00000000)
## 1190) lug_boot=big 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1191) lug_boot=med 5 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 149) doors=2 16 6 unacc (0.37500000 0.00000000 0.62500000 0.00000000)
## 298) lug_boot=big 6 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 299) lug_boot=med 10 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 75) lug_boot=small 31 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 19) maint=high,vhigh 195 33 unacc (0.16923077 0.00000000 0.83076923 0.00000000)
## 38) buying=high 95 33 unacc (0.34736842 0.00000000 0.65263158 0.00000000)
## 76) maint=high 49 16 acc (0.67346939 0.00000000 0.32653061 0.00000000)
## 152) safety=high 20 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 153) safety=med 29 13 unacc (0.44827586 0.00000000 0.55172414 0.00000000)
## 306) lug_boot=big 10 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 307) lug_boot=med,small 19 3 unacc (0.15789474 0.00000000 0.84210526 0.00000000)
## 614) doors=4,5more 9 3 unacc (0.33333333 0.00000000 0.66666667 0.00000000)
## 1228) lug_boot=med 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1229) lug_boot=small 6 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 615) doors=2,3 10 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 77) maint=vhigh 46 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 39) buying=vhigh 100 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 5) persons=2 380 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 3) safety=low 590 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##
## attr(,"class")
## class
## "sclass"
##
## $mtrees[[2]]
## $bindx
## [1] 146 541 1242 923 1525 365 1417 379 510 867 1492 467 1568
## [14] 198 8 1271 1555 226 1173 29 891 71 215 1364 797 1723
## [27] 556 1582 357 1475 1118 870 1345 275 1713 1106 1690 1624 671
## [40] 1103 1412 524 1378 630 310 1137 842 570 689 1003 358 629
## [53] 1208 190 86 1460 1064 404 1118 1271 1716 1627 631 716 457
## [66] 216 88 488 341 1204 1512 304 404 267 1479 1168 1083 1141
## [79] 1078 581 1530 103 1435 1145 1379 151 16 791 1077 1663 500
## [92] 1252 174 1291 191 1023 564 1494 586 1624 57 559 1633 306
## [105] 1000 424 856 522 400 538 1239 1686 135 1327 1116 785 480
## [118] 403 952 304 1255 702 1501 1491 900 898 968 802 669 1652
## [131] 474 724 441 224 1396 943 1287 1594 79 1013 156 497 1551
## [144] 1623 658 1663 1270 62 547 90 1711 1713 1682 1174 1108 382
## [157] 646 1295 147 1173 54 1526 1521 1180 390 1704 964 1647 1258
## [170] 735 1684 422 1489 1537 201 877 1419 930 280 1421 805 606
## [183] 141 1394 1321 1412 1063 894 198 368 1295 298 1149 1593 282
## [196] 325 1287 1581 381 591 21 1057 1215 1674 703 1046 437 1209
## [209] 1597 1449 289 360 786 1410 1434 689 1514 1172 945 788 1061
## [222] 1304 1438 637 611 1128 1423 1103 199 1511 628 1723 185 610
## [235] 1433 706 1503 1630 1156 20 27 165 708 1632 1273 891 1271
## [248] 29 1690 1571 1207 234 1622 282 1274 489 797 825 613 1097
## [261] 315 1162 810 1277 201 1047 780 1007 1159 1223 1700 423 774
## [274] 746 1558 1216 974 1414 1653 1570 1112 814 457 1520 56 859
## [287] 1405 1370 335 795 1338 1662 1645 1355 1058 137 393 211 652
## [300] 837 1098 299 1312 1323 1569 650 1557 807 451 452 72 113
## [313] 1586 67 1374 343 1498 570 1514 214 191 1136 252 1071 865
## [326] 444 566 176 451 166 1390 1294 136 378 984 234 516 1661
## [339] 739 196 358 1242 1574 620 1367 1351 1720 1572 922 1452 826
## [352] 345 1094 873 785 25 879 931 906 504 308 863 738 1036
## [365] 758 1358 1193 562 1599 112 50 1324 1408 422 1400 1511 652
## [378] 308 517 1215 1291 314 568 1284 702 1487 416 467 1368 1524
## [391] 573 496 598 140 1073 1684 582 824 1376 896 608 567 514
## [404] 492 482 227 995 1226 957 364 507 610 867 1070 615 625
## [417] 429 1566 961 543 1267 1405 1611 1609 594 722 1030 599 230
## [430] 367 189 38 1155 364 1036 63 1065 889 1327 981 158 221
## [443] 330 382 1566 469 963 1172 980 912 742 419 268 817 699
## [456] 1308 505 295 699 723 711 1579 1172 1169 1114 248 1004 182
## [469] 911 921 395 809 1656 610 1555 1298 1572 521 1449 673 609
## [482] 253 123 488 946 895 1561 1296 1267 311 1364 1638 1603 1155
## [495] 489 96 1018 543 1724 1575 1152 637 1656 1508 70 1404 1257
## [508] 495 365 1289 624 1717 1699 180 566 1572 1666 649 82 564
## [521] 639 1234 1457 223 775 335 1494 46 636 112 1708 356 1011
## [534] 52 1289 310 1093 1431 1060 1098 778 1363 1409 632 1724 118
## [547] 1428 1448 519 139 464 550 700 338 385 1405 867 164 1690
## [560] 496 60 1053 629 1091 463 1185 1368 165 476 101 1702 1683
## [573] 579 508 1003 1320 126 1386 694 620 306 503 216 1040 552
## [586] 750 1102 794 1665 262 1314 1502 1372 1321 414 450 616 478
## [599] 652 25 753 1196 705 53 957 618 928 1113 186 1656 908
## [612] 1022 539 642 333 116 1368 1530 1241 133 1302 1419 1314 1004
## [625] 94 239 1598 1098 715 328 990 876 274 356 1453 1271 1025
## [638] 353 1703 700 871 369 59 1265 299 1266 596 1565 464 1507
## [651] 243 1410 215 1391 1596 217 686 912 651 1020 737 623 431
## [664] 1670 526 1121 625 90 172 130 587 1168 656 1097 161 11
## [677] 473 446 514 222 415 1156 120 746 556 1270 1636 1434 205
## [690] 1296 830 894 599 1188 339 1430 1613 1360 700 681 823 623
## [703] 1263 537 624 1447 1486 318 1262 1173 503 365 1670 1171 787
## [716] 696 1230 54 809 14 771 333 53 1648 103 1140 852 547
## [729] 567 169 123 1539 1034 1139 554 821 1122 1533 269 626 459
## [742] 200 91 499 740 712 1352 1081 1297 1143 910 787 1675 1086
## [755] 1019 1697 1016 603 1238 84 722 620 29 1252 1709 682 725
## [768] 1460 1709 1054 1467 260 445 770 863 1660 1456 271 1089 1364
## [781] 166 1205 1227 1261 1169 392 395 580 959 1291 734 812 844
## [794] 1148 1639 976 250 1648 586 650 1668 1082 1404 44 1001 1282
## [807] 194 1553 1002 1545 1342 507 237 1183 300 1142 1476 126 874
## [820] 1074 547 1525 878 589 1347 1441 1614 314 404 573 1614 1398
## [833] 823 1106 1346 905 146 1612 1073 310 405 1275 1091 1510 1100
## [846] 1259 720 1546 928 871 1570 1046 1578 1615 451 1180 1102 1555
## [859] 926 90 79 731 1588 1639 804 395 835 267 731 529 1139
## [872] 1248 1045 324 198 1389 283 849 591 550 1062 68 719 451
## [885] 442 112 27 365 162 1364 974 777 1237 1457 791 870 563
## [898] 651 104 1147 1060 1437 744 425 1096 75 544 1179 1272 1391
## [911] 1076 1011 1519 561 1140 741 1726 489 1411 752 745 1520 1379
## [924] 1511 589 1077 1057 1487 562 647 711 964 760 1157 1524 187
## [937] 778 515 1178 565 388 1159 1677 1304 1493 895 728 1022 142
## [950] 65 340 1111 28 147 1342 612 54 1343 232 1063 1248 1056
## [963] 1097 765 1276 228 665 439 907 983 145 76 1347 299 1451
## [976] 717 1231 1156 1157 916 1555 762 787 1654 1058 411 1541 770
## [989] 484 1176 1528 1572 1497 521 1189 789 96 841 645 1624 761
## [1002] 778 1347 1141 453 1425 636 1376 697 848 1080 1414 1305 530
## [1015] 1517 1480 323 1272 918 807 1318 547 1134 472 812 990 1688
## [1028] 1042 1657 447 1081 1127 789 1094 536 1588 594 1714 947 1228
## [1041] 755 977 1339 845 239 966 277 1659 27 1133 1578 1010 405
## [1054] 1419 1119 810 1625 481 1233 1307 1654 1140 1395 1712 1094 1662
## [1067] 242 455 78 1164 1456 1396 1169 622 431 797 627 1231 521
## [1080] 1579 1003 955 1160 620 181 122 1192 447 861 1295 1488 1702
## [1093] 1259 1193 708 1137 1403 42 1386 1375 827 997 479 1445 1311
## [1106] 1359 1551 1145 1343 713 108 1508 88 12 1322 1045 1103 841
## [1119] 227 1022 1679 571 1335 1568 536 2 369 428 701 50 1441
## [1132] 1613 339 534 937 1250 878 728 348 197 283 1055 1017 338
## [1145] 577 1099 1274 1044 501 1602 1189 669 727 1044 613 1659 1363
## [1158] 1699 795 1596 1347 806 825 1354 74 1656 416 216 1559 1708
## [1171] 1667 1146 210 1059 216 937 61 1682 307 1488 1195 1701 87
## [1184] 301 734 512 1213 1687 1216 1373 1244 927 1095 526 1234 1707
## [1197] 602 758 184 320 1369 1079 340 1437 1459 1714 612 592 71
## [1210] 1287 783 96 573 440 575 1020 1226 880 1142 518 852 314
## [1223] 1590 1025 1613 766 430 1153 400 950 304 1448 655 257 128
## [1236] 878 46 655 72 855 1147 347 669 626 444 872 1437 576
## [1249] 169 1122 1549 569 1481 499 184 1209 847 523 607 163 1435
## [1262] 947 968 667 1590 629 90 989 830 949 5 1296 1036 183
## [1275] 873 187 1710 64 1242 1264 997 1205 636 630 874 1336 1508
## [1288] 321 1377 781 708 1126 1203 1497 1356 1707 1268 1069 1030 407
## [1301] 14 1428 355 1594 23 115 1214 695 550 591 880 1151 1006
## [1314] 117 733 845 631 423 1147 1248 1194 1093 486 221 626 1421
## [1327] 226 840 457 1144 975 867 323 631 14 1086 1268 1495 413
## [1340] 1470 1710 1661 1378 1517 1126 3 116 188 1421 1343 699 274
## [1353] 313 257 889 1263 186 981 356 617 1149 430 346 849 1378
## [1366] 701 1084 1377 1069 795 192 113 499 238 1105 1432 135 1112
## [1379] 1572 55 785 730 309 1375 1153 1395 1346 147 1534 1022 364
## [1392] 421 871 523 122 1 323 1021 1008 660 1525 1326 496 1189
## [1405] 434 403 860 1691 1473 57 198 1076 91 698 48 729 807
## [1418] 1495 1106 570 1483 1246 1327 723 635 224 1352 1245 1255 1037
## [1431] 1006 72 74 1189 845 222 1073 1716 1072 1394 523 385 882
## [1444] 862 552 471 1327 1154 1212 1306 40 951 1646 1173 1506 230
## [1457] 1190 1224 1272 526 1016 1033 1355 281 1088 1662 989 33 1222
## [1470] 1059 1567 1060 21 778 199 1466 1582 719 1700 1619 201 1448
## [1483] 288 1708 1697 327 1238 341 1669 484 293 1224 906 820 767
## [1496] 1661 225 144 1181 928 805 1549 1455 407 1275 380 639 780
## [1509] 700 1053 1090 891 1334 1465 504 51 1385 19 353 193 1296
## [1522] 694 1187 522 240 767 555 830 286 172 834 314 1347 589
## [1535] 1563 849 946 1065 1347 1510 1163 191 553 1088 673 645 1091
## [1548] 252 1669 622 1632 1458 587 1340 218 817 1248 5 1144 364
## [1561] 344 1047 1692 1681 1101 753 1589 823 1265 1313 164 1502 648
## [1574] 1050 1603 1017 668 1585 1450 356 399 1281 1198 553 187 1586
## [1587] 966 808 483 592 935 1 36 732 1245 1238 1462 792 319
## [1600] 1619 170 1354 367 1226 1547 1005 590 902 180 1288 1025 441
## [1613] 698 63 646 54 594 173 474 1431 312 1085 1050 79 643
## [1626] 1161 696 278 424 1561 65 46 164 1410 833 363 605 522
## [1639] 728 188 630 750 1679 498 824 1265 1088 551 994 1237 623
## [1652] 811 1293 540 1672 1720 592 1658 735 811 472 929 587 976
## [1665] 641 935 624 42 112 1253 42 1347 395 638 161 1206 842
## [1678] 1668 1364 773 1266 933 269 1710 1677 902 109 1421 1142 657
## [1691] 1565 1470 1466 1535 1266 720 230 1705 1686 1195 306 590 1701
## [1704] 1380 875 1374 636 1308 1028 909 667 1227 1677 1720 1064 1522
## [1717] 470 427 1523 1553 1530 118 1358 2 95 129 1245 1313
##
## $btree
## n= 1728
##
## node), split, n, loss, yval, (yprob)
## * denotes terminal node
##
## 1) root 1728 527 unacc (0.23148148 0.03587963 0.69502315 0.03761574)
## 2) persons=4,more 1139 527 unacc (0.35118525 0.05443371 0.53731343 0.05706760)
## 4) safety=high,med 759 359 acc (0.52700922 0.08168643 0.30566535 0.08563900)
## 8) buying=low,med 383 162 acc (0.57702350 0.16187990 0.09138381 0.16971279)
## 16) maint=high,med,vhigh 288 80 acc (0.72222222 0.04513889 0.11111111 0.12152778)
## 32) maint=high,vhigh 190 39 acc (0.79473684 0.00000000 0.15263158 0.05263158)
## 64) lug_boot=big,med 136 16 acc (0.88235294 0.00000000 0.04411765 0.07352941)
## 128) maint=vhigh 67 4 acc (0.94029851 0.00000000 0.05970149 0.00000000)
## 256) buying=low 45 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 257) buying=med 22 4 acc (0.81818182 0.00000000 0.18181818 0.00000000)
## 514) safety=high 12 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 515) safety=med 10 4 acc (0.60000000 0.00000000 0.40000000 0.00000000)
## 1030) doors=4,5more 5 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1031) doors=2,3 5 1 unacc (0.20000000 0.00000000 0.80000000 0.00000000)
## 2062) lug_boot=big 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2063) lug_boot=med 4 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 129) maint=high 69 12 acc (0.82608696 0.00000000 0.02898551 0.14492754)
## 258) safety=med 39 2 acc (0.94871795 0.00000000 0.05128205 0.00000000)
## 516) lug_boot=big 25 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 517) lug_boot=med 14 2 acc (0.85714286 0.00000000 0.14285714 0.00000000)
## 1034) doors=3,4,5more 13 1 acc (0.92307692 0.00000000 0.07692308 0.00000000)
## 2068) persons=more 10 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2069) persons=4 3 1 acc (0.66666667 0.00000000 0.33333333 0.00000000)
## 4138) buying=low 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 4139) buying=med 2 1 acc (0.50000000 0.00000000 0.50000000 0.00000000)
## 8278) doors=4 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 8279) doors=3 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 1035) doors=2 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 259) safety=high 30 10 acc (0.66666667 0.00000000 0.00000000 0.33333333)
## 518) buying=med 15 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 519) buying=low 15 5 vgood (0.33333333 0.00000000 0.00000000 0.66666667)
## 1038) doors=2 7 2 acc (0.71428571 0.00000000 0.00000000 0.28571429)
## 2076) lug_boot=med 5 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2077) lug_boot=big 2 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 1039) doors=3,4,5more 8 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 65) lug_boot=small 54 23 acc (0.57407407 0.00000000 0.42592593 0.00000000)
## 130) safety=high 31 1 acc (0.96774194 0.00000000 0.03225806 0.00000000)
## 260) doors=3,4,5more 26 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 261) doors=2 5 1 acc (0.80000000 0.00000000 0.20000000 0.00000000)
## 522) persons=4 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 523) persons=more 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 131) safety=med 23 1 unacc (0.04347826 0.00000000 0.95652174 0.00000000)
## 262) buying=low 7 1 unacc (0.14285714 0.00000000 0.85714286 0.00000000)
## 524) maint=high 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 525) maint=vhigh 6 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 263) buying=med 16 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 33) maint=med 98 41 acc (0.58163265 0.13265306 0.03061224 0.25510204)
## 66) safety=med 51 6 acc (0.88235294 0.09803922 0.01960784 0.00000000)
## 132) buying=med 35 1 acc (0.97142857 0.00000000 0.02857143 0.00000000)
## 264) lug_boot=big,med 21 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 265) lug_boot=small 14 1 acc (0.92857143 0.00000000 0.07142857 0.00000000)
## 530) persons=4 10 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 531) persons=more 4 1 acc (0.75000000 0.00000000 0.25000000 0.00000000)
## 1062) doors=3,4,5more 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1063) doors=2 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 133) buying=low 16 5 acc (0.68750000 0.31250000 0.00000000 0.00000000)
## 266) lug_boot=med,small 12 1 acc (0.91666667 0.08333333 0.00000000 0.00000000)
## 532) doors=2,3,5more 9 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 533) doors=4 3 1 acc (0.66666667 0.33333333 0.00000000 0.00000000)
## 1066) lug_boot=small 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1067) lug_boot=med 1 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 267) lug_boot=big 4 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 67) safety=high 47 22 vgood (0.25531915 0.17021277 0.04255319 0.53191489)
## 134) lug_boot=small 19 10 acc (0.47368421 0.42105263 0.10526316 0.00000000)
## 268) buying=med 10 1 acc (0.90000000 0.00000000 0.10000000 0.00000000)
## 536) doors=3,4,5more 9 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 537) doors=2 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 269) buying=low 9 1 good (0.00000000 0.88888889 0.11111111 0.00000000)
## 538) persons=4 6 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 539) persons=more 3 1 good (0.00000000 0.66666667 0.33333333 0.00000000)
## 1078) doors=5more 2 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 1079) doors=2 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 135) lug_boot=big,med 28 3 vgood (0.10714286 0.00000000 0.00000000 0.89285714)
## 270) lug_boot=med 11 3 vgood (0.27272727 0.00000000 0.00000000 0.72727273)
## 540) doors=2,3 4 1 acc (0.75000000 0.00000000 0.00000000 0.25000000)
## 1080) buying=med 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1081) buying=low 1 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 541) doors=4,5more 7 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 271) lug_boot=big 17 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 17) maint=low 95 46 good (0.13684211 0.51578947 0.03157895 0.31578947)
## 34) safety=med 42 14 good (0.30952381 0.66666667 0.02380952 0.00000000)
## 68) lug_boot=small 11 1 acc (0.90909091 0.00000000 0.09090909 0.00000000)
## 136) doors=3,4,5more 10 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 137) doors=2 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 69) lug_boot=big,med 31 3 good (0.09677419 0.90322581 0.00000000 0.00000000)
## 138) doors=3 9 3 good (0.33333333 0.66666667 0.00000000 0.00000000)
## 276) persons=4 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 277) persons=more 6 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 139) doors=2,4,5more 22 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 35) safety=high 53 23 vgood (0.00000000 0.39622642 0.03773585 0.56603774)
## 70) lug_boot=small 17 2 good (0.00000000 0.88235294 0.11764706 0.00000000)
## 140) doors=3,4,5more 13 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 141) doors=2 4 2 good (0.00000000 0.50000000 0.50000000 0.00000000)
## 282) buying=low 2 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 283) buying=med 2 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 71) lug_boot=big,med 36 6 vgood (0.00000000 0.16666667 0.00000000 0.83333333)
## 142) lug_boot=med 15 6 vgood (0.00000000 0.40000000 0.00000000 0.60000000)
## 284) doors=2,3 7 1 good (0.00000000 0.85714286 0.00000000 0.14285714)
## 568) persons=4 5 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 569) persons=more 2 1 good (0.00000000 0.50000000 0.00000000 0.50000000)
## 1138) doors=2 1 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 1139) doors=3 1 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 285) doors=4,5more 8 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 143) lug_boot=big 21 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 9) buying=high,vhigh 376 179 unacc (0.47606383 0.00000000 0.52393617 0.00000000)
## 18) maint=high,low,med 289 110 acc (0.61937716 0.00000000 0.38062284 0.00000000)
## 36) lug_boot=big,med 202 52 acc (0.74257426 0.00000000 0.25742574 0.00000000)
## 72) buying=high 107 11 acc (0.89719626 0.00000000 0.10280374 0.00000000)
## 144) doors=4,5more 56 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 145) doors=2,3 51 11 acc (0.78431373 0.00000000 0.21568627 0.00000000)
## 290) persons=more 36 2 acc (0.94444444 0.00000000 0.05555556 0.00000000)
## 580) doors=3 25 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 581) doors=2 11 2 acc (0.81818182 0.00000000 0.18181818 0.00000000)
## 1162) maint=high,low 10 1 acc (0.90000000 0.00000000 0.10000000 0.00000000)
## 2324) safety=high 7 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2325) safety=med 3 1 acc (0.66666667 0.00000000 0.33333333 0.00000000)
## 4650) lug_boot=big 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 4651) lug_boot=med 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 1163) maint=med 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 291) persons=4 15 6 unacc (0.40000000 0.00000000 0.60000000 0.00000000)
## 582) safety=high 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 583) safety=med 11 2 unacc (0.18181818 0.00000000 0.81818182 0.00000000)
## 1166) lug_boot=big 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1167) lug_boot=med 9 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 73) buying=vhigh 95 41 acc (0.56842105 0.00000000 0.43157895 0.00000000)
## 146) maint=low,med 68 14 acc (0.79411765 0.00000000 0.20588235 0.00000000)
## 292) lug_boot=big 38 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 293) lug_boot=med 30 14 acc (0.53333333 0.00000000 0.46666667 0.00000000)
## 586) safety=high 10 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 587) safety=med 20 6 unacc (0.30000000 0.00000000 0.70000000 0.00000000)
## 1174) doors=4,5more 6 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1175) doors=2,3 14 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 147) maint=high 27 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 37) lug_boot=small 87 29 unacc (0.33333333 0.00000000 0.66666667 0.00000000)
## 74) safety=high 48 19 acc (0.60416667 0.00000000 0.39583333 0.00000000)
## 148) maint=low,med 29 6 acc (0.79310345 0.00000000 0.20689655 0.00000000)
## 296) doors=3,4,5more 21 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 297) doors=2 8 2 unacc (0.25000000 0.00000000 0.75000000 0.00000000)
## 594) persons=4 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 595) persons=more 6 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 149) maint=high 19 6 unacc (0.31578947 0.00000000 0.68421053 0.00000000)
## 298) buying=high 7 1 acc (0.85714286 0.00000000 0.14285714 0.00000000)
## 596) doors=3,4,5more 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 597) doors=2 3 1 acc (0.66666667 0.00000000 0.33333333 0.00000000)
## 1194) persons=4 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1195) persons=more 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 299) buying=vhigh 12 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 75) safety=med 39 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 19) maint=vhigh 87 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 5) safety=low 380 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 3) persons=2 589 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##
## attr(,"class")
## class
## "sclass"
##
## $mtrees[[3]]
## $bindx
## [1] 649 339 1349 770 933 517 1349 1493 1344 547 136 670 335
## [14] 567 1251 1242 457 1396 604 1618 1264 760 673 877 1112 436
## [27] 931 931 1261 1567 1575 680 961 504 866 246 416 68 1000
## [40] 615 894 1225 501 594 964 490 878 377 187 804 165 1071
## [53] 692 890 513 1232 492 1150 599 327 1372 144 1460 1519 1284
## [66] 1249 234 133 1197 912 424 1135 1529 1581 167 196 1599 1440
## [79] 36 1023 1047 1117 629 1333 1053 982 900 942 1243 468 978
## [92] 421 739 1661 87 473 1124 694 787 498 324 764 1234 1601
## [105] 1617 1529 945 1687 934 226 1604 1347 489 308 613 227 9
## [118] 370 300 359 1425 1476 274 995 17 857 1359 208 997 806
## [131] 1071 1546 1037 1170 450 834 1387 1201 416 1710 502 1722 1342
## [144] 1400 1338 275 1298 1078 899 1258 343 876 1036 520 1356 1
## [157] 827 1148 1388 267 772 409 1656 1595 1091 1326 1648 941 592
## [170] 1661 1038 796 745 888 1662 1164 649 486 434 205 1124 1032
## [183] 392 500 1087 464 834 1387 1109 285 832 112 97 1061 569
## [196] 1331 689 1034 1569 797 1573 338 894 719 165 293 441 699
## [209] 684 1454 1340 32 1183 1045 185 593 649 1082 717 469 1682
## [222] 1356 68 1430 517 113 829 763 1680 748 363 95 830 286
## [235] 15 86 307 1141 921 1660 966 1365 1076 1408 157 1444 688
## [248] 208 906 1130 914 1477 1050 1483 1434 408 1448 1609 820 1624
## [261] 1055 1355 233 297 1705 399 1352 1335 1454 550 324 295 374
## [274] 797 130 1639 1574 832 651 547 1493 1015 852 1393 132 1436
## [287] 721 677 955 1551 1087 13 740 464 1365 1010 1002 547 1347
## [300] 1 186 1500 1042 1621 918 1270 546 31 256 836 381 328
## [313] 349 972 587 1073 36 1096 1170 1321 1383 112 1167 1707 1179
## [326] 1055 603 1089 625 695 1221 1153 1449 1633 1068 602 335 1149
## [339] 1590 214 722 247 1268 592 985 1487 978 701 214 952 1135
## [352] 1039 414 754 710 1054 1052 641 640 569 1005 50 291 1202
## [365] 1395 816 1268 210 1022 1252 1312 1635 947 268 66 148 1232
## [378] 164 1538 641 1277 108 1174 955 1043 544 757 1012 1389 41
## [391] 663 663 1649 1667 1527 1445 351 1337 1001 894 906 11 897
## [404] 47 499 923 688 1657 265 887 1344 712 603 828 89 1440
## [417] 191 571 1637 48 636 1106 1370 1616 422 1038 984 1163 216
## [430] 1208 1171 691 30 899 903 1192 1040 453 922 781 1031 979
## [443] 380 85 178 697 61 913 1252 1046 1168 174 617 1141 1218
## [456] 67 493 166 100 1593 396 976 853 1607 180 1584 740 1484
## [469] 741 300 160 296 1044 311 1271 345 1460 1028 421 789 1141
## [482] 70 116 1645 1121 328 441 1387 104 469 493 848 613 106
## [495] 235 1670 743 1610 716 790 813 1223 1116 881 331 1683 940
## [508] 1684 1681 1102 550 631 547 583 382 1194 1714 1594 1206 1036
## [521] 130 967 1231 942 1228 1321 1164 1137 1474 246 1119 128 1175
## [534] 978 1725 1022 1276 469 1384 1380 295 905 320 745 1053 569
## [547] 1150 668 1566 1232 519 279 1589 1229 1190 1178 842 1598 1446
## [560] 41 281 113 1267 453 596 10 593 1312 1658 673 434 223
## [573] 1552 815 627 757 1636 1409 514 502 1069 1023 332 1456 1289
## [586] 1670 655 332 599 1217 1663 559 127 69 1626 959 217 1340
## [599] 221 1062 1145 567 434 1143 1510 793 1084 1020 1649 634 706
## [612] 1632 382 809 590 18 1347 37 1033 410 429 1157 431 1478
## [625] 292 1670 352 131 853 852 1676 963 1434 1708 1161 877 562
## [638] 13 1276 1262 637 987 70 283 1627 482 636 1727 406 1726
## [651] 393 791 500 498 783 408 1268 1260 1215 480 284 1365 640
## [664] 584 971 620 742 1516 83 659 83 374 1280 117 1145 1061
## [677] 1002 656 1224 1504 1267 583 1264 1708 1448 584 1222 1252 1716
## [690] 1186 1662 1566 1525 1519 1665 217 885 1333 1093 450 1241 1600
## [703] 1326 747 989 1586 321 1223 856 1156 1624 870 681 1005 1617
## [716] 1139 1076 1107 74 1629 1029 367 1674 1723 349 209 1395 1022
## [729] 967 645 35 1199 975 44 819 1339 1714 1658 266 403 412
## [742] 990 1277 551 1500 741 605 813 1120 271 316 1622 143 316
## [755] 596 294 1578 812 1170 1572 1580 370 309 1368 443 1264 88
## [768] 833 288 4 1623 918 506 599 262 1230 49 1227 8 1006
## [781] 936 1198 1140 1525 839 1569 187 1725 443 1325 1626 1175 1507
## [794] 1520 738 659 1650 1254 395 984 1537 1348 1647 1298 1271 893
## [807] 647 293 1710 20 336 1116 136 390 332 367 932 1417 13
## [820] 1185 916 1630 1124 365 176 1115 1481 680 822 1355 19 69
## [833] 1070 1380 1691 693 1332 1204 674 510 577 975 1596 1206 1070
## [846] 775 1210 468 1202 750 195 646 1107 1051 765 117 446 569
## [859] 37 51 1020 1429 915 1699 175 491 122 660 227 1243 295
## [872] 1481 1286 1682 1620 1614 910 1530 176 501 1727 263 1599 1277
## [885] 882 729 89 1439 542 1327 584 1689 1662 228 405 496 85
## [898] 711 1068 1095 111 674 1579 726 482 792 593 1389 1159 184
## [911] 690 1238 428 343 1693 180 1043 1681 963 939 1659 492 277
## [924] 1023 275 1173 791 494 627 1359 1657 171 77 941 85 1449
## [937] 1130 257 795 297 236 1480 1573 197 1077 1126 1697 1265 8
## [950] 1373 1717 400 1640 927 772 197 1502 1252 52 65 1602 1425
## [963] 439 968 302 1140 112 347 660 871 666 1489 1176 1298 1300
## [976] 82 325 556 1022 452 1305 761 1141 261 741 895 1700 783
## [989] 1692 368 912 870 825 1614 1372 967 35 1107 1218 761 517
## [1002] 427 745 640 957 343 890 794 529 730 230 1626 791 91
## [1015] 566 249 202 992 706 1533 283 1046 626 1530 961 1010 654
## [1028] 569 399 1628 1499 1608 1721 357 1333 1688 844 1517 1004 591
## [1041] 534 681 80 277 1008 1325 151 1187 1178 1513 1136 1687 868
## [1054] 1033 612 1324 1255 538 1629 280 1371 1204 622 1028 325 422
## [1067] 1659 1438 843 1137 1157 1125 920 1716 1242 772 1174 972 1696
## [1080] 208 1095 352 1671 1605 409 1448 1188 526 454 1028 564 1632
## [1093] 323 1293 1316 1335 315 688 1302 233 1110 1443 492 158 236
## [1106] 154 128 1342 879 1436 1056 1341 737 392 1649 1396 1085 372
## [1119] 1517 5 1186 1238 1552 30 1287 525 75 1251 517 1525 809
## [1132] 366 723 1078 710 1424 652 273 795 828 155 1377 1047 975
## [1145] 230 1517 1150 821 81 1680 343 1725 1090 1484 1020 856 916
## [1158] 385 898 570 570 349 1037 601 1609 74 1315 1690 1334 998
## [1171] 22 377 663 442 1632 1327 206 624 509 760 979 619 532
## [1184] 804 1204 1404 1160 314 390 676 1661 21 1007 496 1307 1720
## [1197] 1406 815 1207 792 441 407 1645 1682 623 265 73 1605 298
## [1210] 1514 1534 1685 821 567 1712 1681 833 1523 689 943 1525 1439
## [1223] 1229 165 1256 1213 722 1595 63 641 982 1355 833 1074 1121
## [1236] 876 1483 1387 151 1172 79 1104 1169 283 1579 1016 1385 476
## [1249] 1069 755 1367 476 746 1258 937 1260 1544 1466 365 160 1617
## [1262] 510 342 1353 1651 805 291 745 340 1529 660 726 557 1418
## [1275] 1470 165 1093 602 1700 939 1293 1682 1035 294 574 1282 1591
## [1288] 463 1642 1377 424 1417 712 1481 1101 1652 830 222 503 1620
## [1301] 1540 504 307 999 571 1617 1187 842 130 1417 795 106 1479
## [1314] 1339 180 336 689 855 103 192 420 1198 1040 101 1540 1117
## [1327] 615 465 184 703 1697 1289 362 520 171 1231 559 798 1620
## [1340] 1717 600 1010 178 361 512 982 1546 732 1282 475 773 1209
## [1353] 1123 1574 38 734 142 462 1538 1359 42 1020 1518 671 81
## [1366] 216 1537 944 1141 442 197 1279 1413 1160 838 1317 773 309
## [1379] 150 94 92 875 1164 1602 790 567 800 1590 1625 1338 1018
## [1392] 1665 1637 293 353 1537 1496 1368 1518 1108 1055 373 333 833
## [1405] 410 1409 28 524 1190 220 819 680 898 612 438 1550 85
## [1418] 1364 1200 13 479 1101 781 828 63 246 642 598 1331 805
## [1431] 1130 1189 116 684 1576 783 121 1463 702 1313 510 278 1709
## [1444] 69 1120 1705 1316 508 1292 1129 715 1082 345 1177 1089 1048
## [1457] 802 286 859 89 1661 273 567 216 1580 1686 1177 713 1141
## [1470] 849 68 940 1076 265 921 610 944 183 1269 929 848 208
## [1483] 1532 1681 83 402 23 276 222 186 383 1587 1664 175 405
## [1496] 1360 241 1209 874 536 49 227 1406 203 653 536 454 82
## [1509] 37 1571 1245 1093 943 1599 501 1321 1557 667 1385 1508 300
## [1522] 544 993 359 1455 1337 737 233 159 1120 960 1223 846 1580
## [1535] 361 1311 569 464 1056 183 49 1125 846 1306 138 245 1662
## [1548] 264 1686 695 413 520 1647 1595 962 1579 660 580 37 642
## [1561] 1157 212 392 430 311 473 964 1104 108 717 776 756 1003
## [1574] 70 638 884 1190 1123 1257 1461 209 464 1409 1654 1097 676
## [1587] 986 1671 257 389 1084 1228 1036 1135 397 1365 749 1633 741
## [1600] 813 1532 632 1459 575 252 589 700 203 1634 1122 489 1513
## [1613] 316 1628 1195 1 1176 680 135 1266 933 917 1618 1120 652
## [1626] 318 1663 335 910 914 491 506 906 637 380 1367 979 369
## [1639] 743 809 474 346 480 944 1166 1509 1018 1690 926 269 251
## [1652] 515 1191 586 657 701 1008 1723 922 393 507 533 1301 71
## [1665] 699 159 617 67 687 1412 656 10 1066 948 536 1351 1594
## [1678] 1292 734 543 475 387 522 890 1482 654 615 268 66 1612
## [1691] 1654 1072 425 431 844 522 536 1303 62 1322 970 998 175
## [1704] 315 1279 70 1315 880 46 616 726 281 908 436 805 1473
## [1717] 363 1344 36 1628 573 1530 885 1272 79 1001 570 914
##
## $btree
## n= 1728
##
## node), split, n, loss, yval, (yprob)
## * denotes terminal node
##
## 1) root 1728 517 unacc (0.22222222 0.03761574 0.70081019 0.03935185)
## 2) safety=high,med 1140 517 unacc (0.33684211 0.05701754 0.54649123 0.05964912)
## 4) persons=4,more 736 352 acc (0.52173913 0.08831522 0.29755435 0.09239130)
## 8) buying=low,med 382 174 acc (0.54450262 0.17015707 0.10732984 0.17801047)
## 16) maint=high,vhigh 192 41 acc (0.78645833 0.00000000 0.16666667 0.04687500)
## 32) lug_boot=big,med 134 16 acc (0.88059701 0.00000000 0.05223881 0.06716418)
## 64) buying=med 77 5 acc (0.93506494 0.00000000 0.06493506 0.00000000)
## 128) doors=3,4,5more 60 1 acc (0.98333333 0.00000000 0.01666667 0.00000000)
## 256) doors=4,5more 40 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 257) doors=3 20 1 acc (0.95000000 0.00000000 0.05000000 0.00000000)
## 514) persons=more 14 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 515) persons=4 6 1 acc (0.83333333 0.00000000 0.16666667 0.00000000)
## 1030) safety=high 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1031) safety=med 3 1 acc (0.66666667 0.00000000 0.33333333 0.00000000)
## 2062) lug_boot=big 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2063) lug_boot=med 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 129) doors=2 17 4 acc (0.76470588 0.00000000 0.23529412 0.00000000)
## 258) lug_boot=big 10 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 259) lug_boot=med 7 3 unacc (0.42857143 0.00000000 0.57142857 0.00000000)
## 518) safety=high 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 519) safety=med 4 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 65) buying=low 57 11 acc (0.80701754 0.00000000 0.03508772 0.15789474)
## 130) maint=vhigh 31 2 acc (0.93548387 0.00000000 0.06451613 0.00000000)
## 260) doors=2,4,5more 19 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 261) doors=3 12 2 acc (0.83333333 0.00000000 0.16666667 0.00000000)
## 522) safety=high 6 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 523) safety=med 6 2 acc (0.66666667 0.00000000 0.33333333 0.00000000)
## 1046) lug_boot=big 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1047) lug_boot=med 2 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 131) maint=high 26 9 acc (0.65384615 0.00000000 0.00000000 0.34615385)
## 262) safety=med 16 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 263) safety=high 10 1 vgood (0.10000000 0.00000000 0.00000000 0.90000000)
## 526) doors=3 4 1 vgood (0.25000000 0.00000000 0.00000000 0.75000000)
## 1052) lug_boot=med 2 1 acc (0.50000000 0.00000000 0.00000000 0.50000000)
## 2104) persons=4 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2105) persons=more 1 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 1053) lug_boot=big 2 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 527) doors=4,5more 6 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 33) lug_boot=small 58 25 acc (0.56896552 0.00000000 0.43103448 0.00000000)
## 66) safety=high 37 6 acc (0.83783784 0.00000000 0.16216216 0.00000000)
## 132) doors=3,4,5more 27 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 133) doors=2 10 4 unacc (0.40000000 0.00000000 0.60000000 0.00000000)
## 266) persons=4 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 267) persons=more 6 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 67) safety=med 21 2 unacc (0.09523810 0.00000000 0.90476190 0.00000000)
## 134) buying=low 9 2 unacc (0.22222222 0.00000000 0.77777778 0.00000000)
## 268) maint=high 3 1 acc (0.66666667 0.00000000 0.33333333 0.00000000)
## 536) doors=4,5more 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 537) doors=2 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 269) maint=vhigh 6 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 135) buying=med 12 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 17) maint=low,med 190 125 good (0.30000000 0.34210526 0.04736842 0.31052632)
## 34) safety=med 94 44 acc (0.53191489 0.42553191 0.04255319 0.00000000)
## 68) lug_boot=small 23 4 acc (0.82608696 0.00000000 0.17391304 0.00000000)
## 136) doors=3,4,5more 16 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 137) doors=2 7 3 unacc (0.42857143 0.00000000 0.57142857 0.00000000)
## 274) persons=4 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 275) persons=more 4 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 69) lug_boot=big,med 71 31 good (0.43661972 0.56338028 0.00000000 0.00000000)
## 138) buying=med 40 14 acc (0.65000000 0.35000000 0.00000000 0.00000000)
## 276) maint=med 22 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 277) maint=low 18 4 good (0.22222222 0.77777778 0.00000000 0.00000000)
## 554) doors=2 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 555) doors=3,4,5more 16 2 good (0.12500000 0.87500000 0.00000000 0.00000000)
## 1110) persons=4 7 2 good (0.28571429 0.71428571 0.00000000 0.00000000)
## 2220) lug_boot=med 3 1 acc (0.66666667 0.33333333 0.00000000 0.00000000)
## 4440) doors=3 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 4441) doors=4 1 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 2221) lug_boot=big 4 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 1111) persons=more 9 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 139) buying=low 31 5 good (0.16129032 0.83870968 0.00000000 0.00000000)
## 278) doors=3 8 4 acc (0.50000000 0.50000000 0.00000000 0.00000000)
## 556) persons=4 5 1 acc (0.80000000 0.20000000 0.00000000 0.00000000)
## 1112) lug_boot=med 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1113) lug_boot=big 1 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 557) persons=more 3 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 279) doors=2,4,5more 23 1 good (0.04347826 0.95652174 0.00000000 0.00000000)
## 558) doors=2 8 1 good (0.12500000 0.87500000 0.00000000 0.00000000)
## 1116) lug_boot=med 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1117) lug_boot=big 7 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 559) doors=4,5more 15 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 35) safety=high 96 37 vgood (0.07291667 0.26041667 0.05208333 0.61458333)
## 70) lug_boot=small 25 7 good (0.08000000 0.72000000 0.20000000 0.00000000)
## 140) buying=low 16 1 good (0.00000000 0.93750000 0.06250000 0.00000000)
## 280) doors=3,4,5more 12 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 281) doors=2 4 1 good (0.00000000 0.75000000 0.25000000 0.00000000)
## 562) maint=low 3 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 563) maint=med 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 141) buying=med 9 5 unacc (0.22222222 0.33333333 0.44444444 0.00000000)
## 282) persons=4 5 2 good (0.40000000 0.60000000 0.00000000 0.00000000)
## 564) maint=med 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 565) maint=low 3 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 283) persons=more 4 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 71) lug_boot=big,med 71 12 vgood (0.07042254 0.09859155 0.00000000 0.83098592)
## 142) doors=2,3 35 12 vgood (0.14285714 0.20000000 0.00000000 0.65714286)
## 284) lug_boot=med 14 7 good (0.35714286 0.50000000 0.00000000 0.14285714)
## 568) buying=med 6 1 acc (0.83333333 0.16666667 0.00000000 0.00000000)
## 1136) maint=med 5 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1137) maint=low 1 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 569) buying=low 8 2 good (0.00000000 0.75000000 0.00000000 0.25000000)
## 1138) persons=4 6 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 1139) persons=more 2 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 285) lug_boot=big 21 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 143) doors=4,5more 36 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 9) buying=high,vhigh 354 176 unacc (0.49717514 0.00000000 0.50282486 0.00000000)
## 18) maint=high,low,med 269 93 acc (0.65427509 0.00000000 0.34572491 0.00000000)
## 36) safety=high 128 19 acc (0.85156250 0.00000000 0.14843750 0.00000000)
## 72) maint=low,med 93 2 acc (0.97849462 0.00000000 0.02150538 0.00000000)
## 144) doors=3,4,5more 73 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 145) doors=2 20 2 acc (0.90000000 0.00000000 0.10000000 0.00000000)
## 290) persons=4 14 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 291) persons=more 6 2 acc (0.66666667 0.00000000 0.33333333 0.00000000)
## 582) lug_boot=big 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 583) lug_boot=small 2 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 73) maint=high 35 17 acc (0.51428571 0.00000000 0.48571429 0.00000000)
## 146) buying=high 18 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 147) buying=vhigh 17 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 37) safety=med 141 67 unacc (0.47517730 0.00000000 0.52482270 0.00000000)
## 74) lug_boot=big,med 92 25 acc (0.72826087 0.00000000 0.27173913 0.00000000)
## 148) lug_boot=big 43 1 acc (0.97674419 0.00000000 0.02325581 0.00000000)
## 296) doors=2,3,4 32 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 297) doors=5more 11 1 acc (0.90909091 0.00000000 0.09090909 0.00000000)
## 594) maint=low,med 8 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 595) maint=high 3 1 acc (0.66666667 0.00000000 0.33333333 0.00000000)
## 1190) buying=high 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1191) buying=vhigh 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 149) lug_boot=med 49 24 acc (0.51020408 0.00000000 0.48979592 0.00000000)
## 298) doors=4,5more 26 6 acc (0.76923077 0.00000000 0.23076923 0.00000000)
## 596) maint=low,med 18 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 597) maint=high 8 2 unacc (0.25000000 0.00000000 0.75000000 0.00000000)
## 1194) buying=high 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1195) buying=vhigh 6 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 299) doors=2,3 23 5 unacc (0.21739130 0.00000000 0.78260870 0.00000000)
## 598) persons=more 9 4 acc (0.55555556 0.00000000 0.44444444 0.00000000)
## 1196) doors=3 6 1 acc (0.83333333 0.00000000 0.16666667 0.00000000)
## 2392) maint=low,med 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2393) maint=high 2 1 acc (0.50000000 0.00000000 0.50000000 0.00000000)
## 4786) buying=high 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 4787) buying=vhigh 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 1197) doors=2 3 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 599) persons=4 14 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 75) lug_boot=small 49 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 19) maint=vhigh 85 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 5) persons=2 404 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 3) safety=low 588 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##
## attr(,"class")
## class
## "sclass"
##
## $mtrees[[4]]
## $bindx
## [1] 1449 1156 537 606 171 1171 1551 1313 1210 543 20 624 1269
## [14] 1253 1270 1169 804 1665 1634 51 1136 1200 1455 640 864 1389
## [27] 747 374 789 113 1282 492 1421 649 1728 979 817 560 859
## [40] 678 770 1223 36 904 425 1017 221 1103 1257 1561 1471 107
## [53] 1514 720 105 1100 1112 1166 171 621 483 1000 1001 869 1596
## [66] 22 1071 1277 495 1008 835 843 1341 741 377 993 286 1141
## [79] 694 1511 99 1572 1474 226 1362 824 1616 770 608 914 50
## [92] 1353 720 365 153 1578 1186 1187 521 53 739 1713 644 1296
## [105] 658 804 1630 1280 1539 1504 743 506 54 1211 1299 1057 530
## [118] 462 227 884 1033 946 1055 822 1262 506 541 1210 709 292
## [131] 1188 1328 1066 191 320 451 1417 925 324 1628 1411 1489 1085
## [144] 25 580 1671 673 1506 1666 904 684 763 1453 468 1661 913
## [157] 798 687 780 1080 762 713 448 1097 1405 1062 1265 65 660
## [170] 206 1656 1306 148 1107 344 1102 521 974 584 447 151 491
## [183] 131 996 558 517 1580 947 982 1192 871 332 1716 789 824
## [196] 296 131 157 1025 1247 292 446 1571 472 1325 197 1554 986
## [209] 152 893 140 596 1274 261 712 1645 1586 91 1704 1310 1360
## [222] 889 1629 785 737 858 528 370 9 1013 852 1667 444 1484
## [235] 617 1236 494 607 1716 1496 1135 737 151 1465 656 972 459
## [248] 754 622 150 1210 1403 860 468 484 1059 1281 447 1529 394
## [261] 918 887 1003 1393 795 529 538 646 589 36 1370 1180 1029
## [274] 1642 1634 487 1193 923 409 906 1089 980 780 727 400 1152
## [287] 1609 1331 1189 421 731 1472 625 1414 1627 1166 492 1653 975
## [300] 381 1033 590 444 507 168 1021 1619 239 255 1025 607 561
## [313] 363 278 511 1281 374 1574 1093 1378 1251 570 310 1707 1448
## [326] 1426 262 1610 934 807 613 531 1535 1047 1353 551 934 600
## [339] 553 649 270 947 126 1670 858 897 1055 865 1425 1301 685
## [352] 685 701 913 1087 756 303 653 373 1473 879 1721 628 109
## [365] 1603 964 1078 1698 715 1174 109 1099 933 713 101 514 303
## [378] 739 158 856 639 1447 116 1291 1025 1728 580 1027 1687 973
## [391] 1606 546 1708 1372 1604 1444 956 643 594 354 1112 7 1437
## [404] 1628 1319 806 1005 1652 592 1081 1609 1696 1530 1162 5 811
## [417] 492 170 13 270 331 1328 1195 310 1726 852 603 1377 572
## [430] 1658 86 49 138 1122 165 641 1333 42 453 330 1717 338
## [443] 32 1449 1474 440 818 11 1129 1631 918 1574 89 1631 535
## [456] 592 375 1352 649 728 792 846 1120 744 1319 1471 410 303
## [469] 953 17 245 1662 68 1252 1725 1467 34 522 917 729 1386
## [482] 1583 220 1488 310 1128 654 1076 1383 717 805 144 378 1165
## [495] 468 711 5 1419 563 530 1171 1096 968 1595 1245 912 336
## [508] 1439 519 1648 401 1108 1046 989 147 1681 1412 1314 74 516
## [521] 282 887 295 795 230 1721 1393 550 891 1234 1645 131 1137
## [534] 1088 1109 659 171 612 1229 49 1651 208 730 1424 444 1633
## [547] 830 522 1173 1307 854 328 1023 1604 1672 127 1071 312 325
## [560] 1541 1550 724 680 1345 539 288 701 142 904 1663 550 976
## [573] 1426 1119 89 1248 1410 1450 1016 1133 191 910 1501 1597 888
## [586] 1046 624 82 795 563 251 282 1457 1244 1491 153 1207 879
## [599] 991 147 874 64 1274 1268 1245 54 926 1569 1192 462 306
## [612] 70 1371 1262 857 1479 10 561 253 650 183 1 1583 598
## [625] 1258 333 1165 1497 628 1084 1357 1514 226 839 803 1396 459
## [638] 435 759 1307 174 904 1401 1581 840 737 1439 545 1417 1515
## [651] 851 711 155 417 1375 1230 566 652 170 1662 1458 854 183
## [664] 1138 347 984 1247 612 1219 1647 1716 629 14 1579 307 777
## [677] 509 1692 556 911 814 682 634 727 1669 277 970 577 67
## [690] 1359 163 347 32 67 253 639 554 903 225 1492 894 1645
## [703] 455 1641 168 1357 983 1491 1663 847 1669 642 1026 715 1163
## [716] 1497 217 1063 909 1464 459 914 1443 1654 1013 1669 1189 1163
## [729] 1607 1151 492 812 1224 1120 1523 1441 1221 32 1009 845 1604
## [742] 104 764 993 632 1523 987 217 710 580 920 1639 915 367
## [755] 622 135 198 1527 64 1703 1163 161 27 665 1098 58 1033
## [768] 1013 420 979 912 938 220 777 719 1584 1455 694 1303 655
## [781] 910 778 1461 86 435 181 391 1664 161 20 1488 1211 1292
## [794] 887 1654 1452 654 603 217 726 425 74 450 1172 1360 1203
## [807] 1692 452 106 426 1608 219 877 1622 483 252 1687 733 1390
## [820] 864 1581 726 975 693 1494 937 653 764 29 1438 1617 1336
## [833] 1609 340 88 1282 1442 1340 427 9 353 1291 678 757 401
## [846] 927 1058 1016 43 196 404 418 374 144 1300 1508 1470 888
## [859] 966 777 728 1622 1497 1358 313 606 1122 738 1244 152 1269
## [872] 1011 708 1140 1183 345 1087 1478 1352 369 1163 266 1713 186
## [885] 8 1649 638 819 798 211 520 787 1379 82 919 255 1576
## [898] 1283 651 1263 924 139 1152 1345 1573 316 1683 1312 1304 1214
## [911] 1655 305 688 163 870 261 198 1515 195 63 986 715 631
## [924] 1587 182 1510 1654 769 105 1324 516 946 947 352 834 853
## [937] 1137 311 682 1718 1069 888 1605 1492 810 48 571 495 1133
## [950] 725 884 341 618 1352 1122 1125 1461 1288 1311 958 1719 656
## [963] 645 832 708 1655 406 351 903 1429 240 441 329 1635 1168
## [976] 813 448 1603 1242 1577 88 212 253 44 1506 252 57 853
## [989] 47 1264 129 955 138 582 132 378 431 89 1245 520 851
## [1002] 1258 1241 788 492 929 467 615 64 1244 643 388 581 1702
## [1015] 1282 43 796 532 550 506 1427 201 1165 1338 175 1491 1268
## [1028] 677 927 823 113 1027 1366 831 499 239 383 980 1408 934
## [1041] 984 606 1708 290 645 726 295 1670 881 1119 261 271 1569
## [1054] 1169 1311 535 54 1212 1501 553 873 1721 763 1035 206 1006
## [1067] 731 383 1622 1466 1684 1398 759 922 19 291 1674 1567 1570
## [1080] 907 1571 1182 1112 599 906 1607 416 863 1227 142 238 909
## [1093] 126 692 1153 1112 23 1628 168 474 75 670 1114 1567 507
## [1106] 1509 882 787 457 1288 709 1577 1493 426 1325 601 58 1475
## [1119] 835 1431 229 41 1338 6 1129 928 559 1158 716 644 73
## [1132] 463 588 1514 130 909 444 1405 1690 562 195 1247 133 230
## [1145] 1640 851 128 863 590 742 532 466 1280 289 1728 406 598
## [1158] 1298 1358 1297 919 1637 1129 346 1056 1661 1237 1296 1217 54
## [1171] 527 984 235 854 1218 774 480 634 431 1563 1246 494 939
## [1184] 1596 1633 877 90 1363 1703 434 319 1272 1320 29 668 423
## [1197] 1710 510 100 1006 192 1505 72 1164 36 780 838 1301 351
## [1210] 99 808 277 1133 1475 1389 775 350 430 623 898 1525 670
## [1223] 946 1658 1270 228 405 798 1620 1026 1402 439 1156 1222 1105
## [1236] 642 665 289 853 852 1079 1561 1458 95 485 1131 998 1575
## [1249] 457 1095 1613 393 32 668 1611 703 235 1149 1439 955 1512
## [1262] 121 1541 20 1023 363 821 536 1492 652 59 1675 1107 1582
## [1275] 1041 444 1563 463 1183 549 41 1709 1724 1290 953 1023 786
## [1288] 804 1587 1628 410 533 717 271 1129 1645 977 194 983 1120
## [1301] 1519 152 289 1598 800 1136 80 232 909 421 976 967 16
## [1314] 947 297 1378 194 127 1404 403 13 1008 906 624 148 206
## [1327] 1677 1282 502 2 1538 310 575 865 256 935 1437 1338 1056
## [1340] 1232 1153 536 102 835 1057 1641 566 727 803 424 34 521
## [1353] 124 236 976 1528 1563 497 141 758 1032 437 103 1683 1182
## [1366] 1024 1341 1369 1615 1103 387 487 819 859 1 1499 200 1393
## [1379] 30 189 1095 481 194 903 548 582 1072 1360 1200 478 62
## [1392] 639 116 1662 173 1339 112 892 698 84 1593 1271 1357 938
## [1405] 578 1597 1014 1258 15 620 359 146 227 939 54 170 1285
## [1418] 988 1329 210 8 960 1710 1252 1096 487 798 246 1174 123
## [1431] 593 244 911 277 764 1411 68 463 1146 887 1067 217 1244
## [1444] 282 1061 572 902 361 1263 1579 109 187 707 1224 458 761
## [1457] 232 912 523 1436 1033 1310 1714 1493 661 1531 924 1672 1596
## [1470] 107 391 85 1210 1627 1252 974 747 356 980 205 351 1509
## [1483] 193 360 741 1306 1562 729 1260 549 775 1704 1234 968 1708
## [1496] 1175 615 265 1357 1065 1378 1274 1332 577 207 1691 637 1554
## [1509] 841 453 1179 68 1526 149 631 218 32 1509 58 390 382
## [1522] 1376 335 1663 1725 403 990 1702 179 172 1195 959 518 880
## [1535] 926 84 570 942 930 1081 1114 182 1032 772 1271 809 482
## [1548] 1267 604 882 566 1476 106 1195 119 1187 161 1422 1092 374
## [1561] 239 1610 431 123 644 1457 711 202 780 929 139 1302 1211
## [1574] 812 424 706 1604 657 1216 726 1458 185 1680 935 142 1233
## [1587] 733 1326 1608 90 527 1537 186 41 772 1176 974 318 383
## [1600] 512 1573 670 278 714 1141 635 1324 1311 163 1345 1423 453
## [1613] 1393 1120 733 673 1117 50 1161 136 1329 1278 1633 891 207
## [1626] 576 56 749 553 701 381 36 653 298 68 12 180 517
## [1639] 1601 1566 1338 1083 1526 1413 1357 1382 688 8 1200 495 49
## [1652] 1246 1347 1668 392 883 982 862 1028 783 1373 853 1718 901
## [1665] 450 118 797 1166 1200 923 186 1594 476 186 1670 271 59
## [1678] 69 74 315 1530 227 1220 1394 653 1095 1292 1604 1542 311
## [1691] 1142 216 551 843 673 1431 1594 94 1639 652 1199 1027 1601
## [1704] 956 549 790 530 1451 821 571 1622 1300 142 566 357 1669
## [1717] 53 1072 31 879 1292 930 1004 1001 1390 1116 1048 1326
##
## $btree
## n= 1728
##
## node), split, n, loss, yval, (yprob)
## * denotes terminal node
##
## 1) root 1728 486 unacc (0.20659722 0.03472222 0.71875000 0.03993056)
## 2) persons=4,more 1099 486 unacc (0.32484076 0.05459509 0.55777980 0.06278435)
## 4) safety=high,med 722 365 acc (0.49445983 0.08310249 0.32686981 0.09556787)
## 8) buying=low,med 357 168 acc (0.52941176 0.16806723 0.10924370 0.19327731)
## 16) maint=high,vhigh 178 51 acc (0.71348315 0.00000000 0.19662921 0.08988764)
## 32) safety=high 104 19 acc (0.81730769 0.00000000 0.02884615 0.15384615)
## 64) maint=vhigh 55 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 65) maint=high 49 19 acc (0.61224490 0.00000000 0.06122449 0.32653061)
## 130) buying=med 22 2 acc (0.90909091 0.00000000 0.09090909 0.00000000)
## 260) doors=3,4,5more 14 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 261) doors=2 8 2 acc (0.75000000 0.00000000 0.25000000 0.00000000)
## 522) persons=4 5 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 523) persons=more 3 1 unacc (0.33333333 0.00000000 0.66666667 0.00000000)
## 1046) lug_boot=med 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1047) lug_boot=small 2 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 131) buying=low 27 11 vgood (0.37037037 0.00000000 0.03703704 0.59259259)
## 262) lug_boot=small 10 1 acc (0.90000000 0.00000000 0.10000000 0.00000000)
## 524) doors=3,4,5more 9 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 525) doors=2 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 263) lug_boot=big,med 17 1 vgood (0.05882353 0.00000000 0.00000000 0.94117647)
## 526) doors=2 4 1 vgood (0.25000000 0.00000000 0.00000000 0.75000000)
## 1052) lug_boot=med 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1053) lug_boot=big 3 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 527) doors=3,4,5more 13 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 33) safety=med 74 32 acc (0.56756757 0.00000000 0.43243243 0.00000000)
## 66) lug_boot=big 25 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 67) lug_boot=med,small 49 17 unacc (0.34693878 0.00000000 0.65306122 0.00000000)
## 134) doors=5more 11 2 acc (0.81818182 0.00000000 0.18181818 0.00000000)
## 268) lug_boot=med 7 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 269) lug_boot=small 4 2 acc (0.50000000 0.00000000 0.50000000 0.00000000)
## 538) buying=low 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 539) buying=med 2 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 135) doors=2,3,4 38 8 unacc (0.21052632 0.00000000 0.78947368 0.00000000)
## 270) buying=low 14 6 unacc (0.42857143 0.00000000 0.57142857 0.00000000)
## 540) doors=3,4 6 1 acc (0.83333333 0.00000000 0.16666667 0.00000000)
## 1080) maint=high 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1081) maint=vhigh 2 1 acc (0.50000000 0.00000000 0.50000000 0.00000000)
## 2162) lug_boot=med 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2163) lug_boot=small 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 541) doors=2 8 1 unacc (0.12500000 0.00000000 0.87500000 0.00000000)
## 1082) maint=high 2 1 acc (0.50000000 0.00000000 0.50000000 0.00000000)
## 2164) lug_boot=med 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2165) lug_boot=small 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 1083) maint=vhigh 6 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 271) buying=med 24 2 unacc (0.08333333 0.00000000 0.91666667 0.00000000)
## 542) doors=3 8 2 unacc (0.25000000 0.00000000 0.75000000 0.00000000)
## 1084) persons=more 4 2 acc (0.50000000 0.00000000 0.50000000 0.00000000)
## 2168) lug_boot=med 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2169) lug_boot=small 2 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 1085) persons=4 4 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 543) doors=2,4 16 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 17) maint=low,med 179 117 acc (0.34636872 0.33519553 0.02234637 0.29608939)
## 34) safety=med 81 33 acc (0.59259259 0.38271605 0.02469136 0.00000000)
## 68) lug_boot=small 29 2 acc (0.93103448 0.00000000 0.06896552 0.00000000)
## 136) doors=3,4,5more 22 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 137) doors=2 7 2 acc (0.71428571 0.00000000 0.28571429 0.00000000)
## 274) persons=4 5 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 275) persons=more 2 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 69) lug_boot=big,med 52 21 good (0.40384615 0.59615385 0.00000000 0.00000000)
## 138) doors=2,3 28 11 acc (0.60714286 0.39285714 0.00000000 0.00000000)
## 276) lug_boot=med 17 4 acc (0.76470588 0.23529412 0.00000000 0.00000000)
## 552) doors=2 10 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 553) doors=3 7 3 good (0.42857143 0.57142857 0.00000000 0.00000000)
## 1106) persons=4 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1107) persons=more 4 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 277) lug_boot=big 11 4 good (0.36363636 0.63636364 0.00000000 0.00000000)
## 554) maint=med 6 2 acc (0.66666667 0.33333333 0.00000000 0.00000000)
## 1108) buying=med 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1109) buying=low 2 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 555) maint=low 5 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 139) doors=4,5more 24 4 good (0.16666667 0.83333333 0.00000000 0.00000000)
## 278) buying=med 11 4 good (0.36363636 0.63636364 0.00000000 0.00000000)
## 556) maint=med 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 557) maint=low 7 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 279) buying=low 13 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 35) safety=high 98 45 vgood (0.14285714 0.29591837 0.02040816 0.54081633)
## 70) lug_boot=small 29 10 good (0.27586207 0.65517241 0.06896552 0.00000000)
## 140) maint=med 13 5 acc (0.61538462 0.38461538 0.00000000 0.00000000)
## 280) buying=med 8 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 281) buying=low 5 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 141) maint=low 16 2 good (0.00000000 0.87500000 0.12500000 0.00000000)
## 282) buying=med 11 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 283) buying=low 5 2 good (0.00000000 0.60000000 0.40000000 0.00000000)
## 566) doors=3,5more 3 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 567) doors=2 2 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 71) lug_boot=big,med 69 16 vgood (0.08695652 0.14492754 0.00000000 0.76811594)
## 142) doors=2,3 34 16 vgood (0.17647059 0.29411765 0.00000000 0.52941176)
## 284) lug_boot=med 21 11 good (0.28571429 0.47619048 0.00000000 0.23809524)
## 568) persons=4 15 6 good (0.40000000 0.60000000 0.00000000 0.00000000)
## 1136) buying=med 8 2 acc (0.75000000 0.25000000 0.00000000 0.00000000)
## 2272) maint=med 6 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2273) maint=low 2 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 1137) buying=low 7 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 569) persons=more 6 1 vgood (0.00000000 0.16666667 0.00000000 0.83333333)
## 1138) doors=2 1 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 1139) doors=3 5 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 285) lug_boot=big 13 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 143) doors=4,5more 35 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 9) buying=high,vhigh 365 168 unacc (0.46027397 0.00000000 0.53972603 0.00000000)
## 18) maint=low,med 169 38 acc (0.77514793 0.00000000 0.22485207 0.00000000)
## 36) doors=3,4,5more 129 15 acc (0.88372093 0.00000000 0.11627907 0.00000000)
## 72) lug_boot=big,med 89 2 acc (0.97752809 0.00000000 0.02247191 0.00000000)
## 144) doors=4,5more 57 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 145) doors=3 32 2 acc (0.93750000 0.00000000 0.06250000 0.00000000)
## 290) persons=more 19 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 291) persons=4 13 2 acc (0.84615385 0.00000000 0.15384615 0.00000000)
## 582) safety=high 9 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 583) safety=med 4 2 acc (0.50000000 0.00000000 0.50000000 0.00000000)
## 1166) lug_boot=big 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1167) lug_boot=med 2 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 73) lug_boot=small 40 13 acc (0.67500000 0.00000000 0.32500000 0.00000000)
## 146) safety=high 27 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 147) safety=med 13 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 37) doors=2 40 17 unacc (0.42500000 0.00000000 0.57500000 0.00000000)
## 74) lug_boot=big 9 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 75) lug_boot=med,small 31 8 unacc (0.25806452 0.00000000 0.74193548 0.00000000)
## 150) safety=high 12 4 acc (0.66666667 0.00000000 0.33333333 0.00000000)
## 300) lug_boot=med 5 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 301) lug_boot=small 7 3 unacc (0.42857143 0.00000000 0.57142857 0.00000000)
## 602) persons=4 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 603) persons=more 4 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 151) safety=med 19 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 19) maint=high,vhigh 196 37 unacc (0.18877551 0.00000000 0.81122449 0.00000000)
## 38) buying=high 96 37 unacc (0.38541667 0.00000000 0.61458333 0.00000000)
## 76) maint=high 49 12 acc (0.75510204 0.00000000 0.24489796 0.00000000)
## 152) doors=3,4,5more 36 4 acc (0.88888889 0.00000000 0.11111111 0.00000000)
## 304) safety=high 20 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 305) safety=med 16 4 acc (0.75000000 0.00000000 0.25000000 0.00000000)
## 610) lug_boot=big,med 13 1 acc (0.92307692 0.00000000 0.07692308 0.00000000)
## 1220) doors=4,5more 8 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1221) doors=3 5 1 acc (0.80000000 0.00000000 0.20000000 0.00000000)
## 2442) persons=more 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2443) persons=4 2 1 acc (0.50000000 0.00000000 0.50000000 0.00000000)
## 4886) lug_boot=big 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 4887) lug_boot=med 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 611) lug_boot=small 3 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 153) doors=2 13 5 unacc (0.38461538 0.00000000 0.61538462 0.00000000)
## 306) lug_boot=big 5 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 307) lug_boot=med,small 8 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 77) maint=vhigh 47 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 39) buying=vhigh 100 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 5) safety=low 377 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 3) persons=2 629 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##
## attr(,"class")
## class
## "sclass"
##
## $mtrees[[5]]
## $bindx
## [1] 276 359 955 169 1471 942 1198 597 1455 1461 946 1402 1082
## [14] 1558 338 111 602 607 42 49 333 879 1413 368 1594 287
## [27] 778 1328 1138 942 542 1447 1106 1108 1369 548 484 778 176
## [40] 1676 5 1662 1656 1340 854 1066 195 1174 298 415 204 1713
## [53] 999 512 1307 121 688 352 1058 417 738 488 297 567 1233
## [66] 1248 1539 1524 570 1088 605 525 1601 387 681 1400 782 173
## [79] 981 455 1327 200 894 267 1198 696 126 484 966 1139 1158
## [92] 1072 295 78 333 100 330 809 417 1342 278 1601 925 284
## [105] 1409 991 76 316 1214 218 263 1635 456 1357 581 1181 1161
## [118] 592 592 1707 1275 91 1400 1408 992 569 871 395 1264 1157
## [131] 505 626 531 1408 1298 344 1667 1628 204 1589 1492 333 1384
## [144] 366 297 598 776 527 1225 1397 299 576 503 1447 279 263
## [157] 800 465 928 1371 1061 1249 1007 889 1020 606 1616 1714 1012
## [170] 1184 420 450 759 1289 1192 621 1230 105 1443 1679 196 1109
## [183] 1284 1201 1267 1561 766 1541 1040 191 839 455 1120 1109 617
## [196] 1083 865 1650 1362 1674 49 1576 198 725 1161 230 1261 957
## [209] 227 14 184 73 942 1483 1056 1165 555 766 1439 498 387
## [222] 51 811 867 725 450 608 1380 1621 1653 492 175 491 202
## [235] 223 191 242 1102 1397 672 781 1699 1455 1693 1291 1247 1626
## [248] 22 1061 1405 222 174 884 1115 1434 141 1437 66 837 1603
## [261] 841 1441 558 778 1208 1178 154 582 782 161 1078 125 336
## [274] 1111 293 1018 250 949 1600 1646 1599 34 1442 1118 1126 1187
## [287] 1104 1727 167 1558 801 1229 581 1226 1611 135 873 896 1608
## [300] 1398 1170 330 1559 1363 684 335 881 556 1245 710 457 115
## [313] 803 1368 1571 1581 1224 803 1720 194 116 1232 1264 30 941
## [326] 1303 571 377 1204 1674 784 1435 596 1511 751 293 855 1118
## [339] 435 960 325 1013 717 1585 1231 371 1547 1646 175 192 71
## [352] 272 1574 817 493 1699 1721 1606 49 1499 1444 1388 286 1719
## [365] 573 1470 1550 1171 1184 281 1145 862 1480 1477 1315 1446 1537
## [378] 779 731 1347 463 1233 613 325 734 1256 1432 820 1373 509
## [391] 133 1529 1023 652 1247 243 1011 662 169 445 1314 1044 918
## [404] 720 828 944 1713 592 1171 810 1013 533 1039 1093 1057 783
## [417] 1122 533 1670 97 870 706 1402 1161 1632 395 553 1535 1718
## [430] 164 155 1008 38 530 285 406 1103 887 1717 226 80 346
## [443] 584 1705 66 658 1356 740 102 790 723 383 985 1722 317
## [456] 1606 6 1509 1329 738 1102 402 933 234 1014 425 1508 1267
## [469] 1565 1692 1474 677 900 378 153 799 1505 408 386 680 657
## [482] 1054 736 387 1427 1366 310 1186 1409 121 1273 541 537 1275
## [495] 162 1040 1466 309 1653 274 1204 187 122 1268 647 1634 1680
## [508] 226 1122 770 564 651 1478 929 1128 1202 1657 1258 1188 973
## [521] 408 81 972 439 1548 1055 856 775 453 871 1203 1185 1524
## [534] 23 1608 1463 953 117 1446 945 847 623 1628 1502 1011 1192
## [547] 1358 1010 24 1489 128 711 124 1330 1046 336 1568 797 114
## [560] 648 155 1710 592 978 488 1416 316 1584 191 1481 1 1434
## [573] 1125 1477 1562 632 422 190 672 1708 1461 1122 1598 354 1418
## [586] 762 915 1209 277 704 855 1555 567 112 77 1469 91 1151
## [599] 1283 798 723 1279 111 415 783 660 788 538 1178 1670 1424
## [612] 953 1132 140 495 1271 904 1552 1295 1645 1591 338 541 1063
## [625] 934 227 502 854 1333 287 1569 542 1359 532 421 1289 1203
## [638] 991 1540 1651 1025 975 1097 837 416 903 509 1484 614 344
## [651] 257 370 9 322 1100 68 356 1001 1643 1317 370 280 88
## [664] 1543 1016 1176 882 1638 1238 1275 343 827 148 1612 141 1168
## [677] 1090 1589 1723 59 1236 756 534 1152 1240 867 1091 48 735
## [690] 242 1327 264 337 982 1522 40 561 719 1465 894 647 413
## [703] 589 992 484 802 379 392 1705 811 1576 1654 1640 689 373
## [716] 253 1133 467 980 938 418 1314 790 1567 1279 564 811 1072
## [729] 996 1244 1263 1360 1329 60 1500 843 1181 1245 565 623 937
## [742] 1219 1465 1395 52 1217 897 632 1020 513 666 501 386 388
## [755] 806 1712 926 820 890 1569 826 883 1285 1727 1158 519 674
## [768] 1622 33 632 127 1463 553 329 1154 1690 986 960 751 1680
## [781] 338 671 1044 1443 1504 1445 897 1187 1044 1371 861 371 1625
## [794] 679 826 263 1126 377 1641 671 1702 939 388 1329 1255 1254
## [807] 421 861 39 651 1580 247 941 824 397 231 81 715 1528
## [820] 1057 1657 1662 174 1309 1043 945 177 523 665 669 337 1110
## [833] 238 1134 234 1088 23 806 1624 362 1028 1134 566 527 1645
## [846] 700 1069 365 1503 1006 1501 1178 1242 213 654 244 1464 640
## [859] 978 328 1643 579 1180 707 18 965 605 1411 401 1087 1687
## [872] 472 1549 373 677 801 555 1382 533 1093 955 1504 995 103
## [885] 1119 476 1203 1520 910 595 156 785 702 1253 1619 565 1187
## [898] 1139 341 1340 1598 1373 1312 1635 1638 809 358 980 1421 247
## [911] 1531 1313 204 580 1513 344 1103 577 440 964 77 388 1640
## [924] 35 1305 1587 957 996 1398 531 1570 675 721 1516 529 525
## [937] 709 1003 858 1075 342 1635 875 1071 1632 192 1547 886 1503
## [950] 379 1712 1180 394 509 69 573 532 108 1312 840 433 655
## [963] 441 1633 1643 1205 1409 566 372 401 1059 632 1287 898 1422
## [976] 467 480 1152 709 555 1660 80 225 1094 494 1466 108 102
## [989] 1639 1678 1443 864 176 1085 159 1666 986 1401 1339 1719 1296
## [1002] 1602 381 299 1457 689 1158 1586 1144 441 289 319 821 1098
## [1015] 1375 110 1564 947 852 6 1146 1000 244 1060 376 502 1622
## [1028] 576 884 1434 265 1422 12 585 964 32 1402 1716 891 701
## [1041] 885 1179 1225 220 378 1472 169 955 856 1095 1315 699 756
## [1054] 1499 1396 1031 102 465 392 1536 1162 1365 790 1543 1366 381
## [1067] 1096 1071 1106 637 1550 1349 1590 356 631 1537 389 136 1675
## [1080] 931 875 444 714 340 1484 1136 507 972 981 940 355 82
## [1093] 1455 799 1538 1352 821 1509 1128 1132 1106 1491 960 34 17
## [1106] 697 500 1600 1151 918 909 895 202 966 118 644 554 1308
## [1119] 213 1660 258 1239 274 465 966 989 1367 1178 253 1366 776
## [1132] 1147 390 1718 221 862 350 617 592 574 961 363 981 237
## [1145] 1461 1683 1682 586 364 474 527 1269 1008 1668 677 545 730
## [1158] 1347 1412 963 437 1685 1221 362 545 1255 456 1531 147 1158
## [1171] 908 767 183 162 9 1304 709 626 4 37 319 580 394
## [1184] 1014 28 1635 102 740 1147 1549 352 1257 239 1427 541 621
## [1197] 555 1091 1598 1054 306 371 142 646 502 172 1714 1520 1558
## [1210] 1490 1559 1628 940 34 1042 218 414 534 1520 406 1712 1713
## [1223] 1580 1717 9 12 757 299 1594 102 852 947 1576 429 1660
## [1236] 905 1176 203 24 1548 1464 932 574 1664 1057 768 1473 579
## [1249] 1021 419 1284 1419 1505 193 783 221 391 1051 130 1525 280
## [1262] 1720 344 942 1205 347 1217 607 52 1013 423 1285 207 1629
## [1275] 1511 741 1479 666 1122 365 1462 1564 936 5 1484 1402 323
## [1288] 826 792 729 330 1069 1453 678 1719 1073 330 1272 1321 1631
## [1301] 202 1575 583 951 932 258 1057 1643 126 442 1688 75 1243
## [1314] 652 1637 274 774 1239 1559 1484 607 82 233 1336 951 885
## [1327] 552 698 44 1165 133 193 791 1178 986 1500 346 1078 583
## [1340] 1625 1031 349 1677 1070 462 727 293 62 1287 407 559 649
## [1353] 1152 671 210 153 1541 367 377 1649 783 1659 1558 943 157
## [1366] 784 375 292 1264 917 1202 706 1072 1204 236 1149 1364 168
## [1379] 1191 131 93 608 930 793 1695 900 545 640 1258 722 1453
## [1392] 1011 1436 1569 930 1609 1129 309 48 489 1630 579 1482 1379
## [1405] 1043 723 984 387 664 1160 64 1305 268 1462 172 806 1078
## [1418] 918 689 469 790 809 1413 1351 425 1089 1260 882 1477 533
## [1431] 1564 1386 1067 1561 760 405 945 54 588 489 1042 34 1277
## [1444] 346 1713 1289 927 1315 1415 959 87 84 397 1295 278 1530
## [1457] 941 1710 651 1284 845 1645 754 1252 1263 459 1490 489 355
## [1470] 1685 138 230 174 981 1306 133 561 411 671 55 958 182
## [1483] 1702 1642 1361 130 1396 795 2 1447 1604 1031 434 1421 287
## [1496] 1639 38 1272 1124 554 321 1641 733 470 1468 1654 1077 998
## [1509] 538 1016 167 610 510 489 1299 894 270 101 1073 709 498
## [1522] 796 629 200 446 659 26 281 939 600 1077 1196 1299 1221
## [1535] 537 182 1164 1678 1120 1106 899 1359 737 1605 1004 1015 945
## [1548] 590 708 51 227 594 1178 457 516 169 1086 1386 1342 1725
## [1561] 774 1627 1619 1463 1378 841 1691 1648 1111 850 759 905 1491
## [1574] 439 1552 1534 236 1547 903 21 960 827 198 1353 1142 848
## [1587] 1371 1072 768 1198 444 1179 833 452 943 61 845 1500 720
## [1600] 1217 546 163 234 178 127 1108 464 1469 1133 1566 1589 1260
## [1613] 1040 20 1678 1330 1421 17 1067 683 1608 1334 174 445 5
## [1626] 1347 1399 1336 1610 656 1544 212 45 729 679 61 87 18
## [1639] 573 928 578 1040 1316 1145 824 1562 1382 1672 1496 1378 438
## [1652] 503 984 601 461 295 1325 1048 391 1425 1533 1066 1447 21
## [1665] 1036 1274 937 73 641 608 1258 876 8 1432 275 1156 912
## [1678] 371 7 814 1422 1270 152 1406 948 1483 930 750 1717 374
## [1691] 1189 1066 1624 725 1369 627 573 37 281 785 1424 1240 77
## [1704] 1362 386 716 506 389 1557 803 1637 1410 783 511 225 1049
## [1717] 839 582 525 498 1085 1267 1298 417 89 1533 1178 460
##
## $btree
## n= 1728
##
## node), split, n, loss, yval, (yprob)
## * denotes terminal node
##
## 1) root 1728 529 unacc (0.22627315 0.03819444 0.69386574 0.04166667)
## 2) safety=high,med 1158 529 unacc (0.33765112 0.05699482 0.54317789 0.06217617)
## 4) persons=4,more 791 400 acc (0.49431100 0.08343869 0.33122630 0.09102402)
## 8) buying=low,med 408 183 acc (0.55147059 0.16176471 0.11029412 0.17647059)
## 16) maint=high,vhigh 201 51 acc (0.74626866 0.00000000 0.17910448 0.07462687)
## 32) safety=high 105 19 acc (0.81904762 0.00000000 0.03809524 0.14285714)
## 64) buying=med 62 2 acc (0.96774194 0.00000000 0.03225806 0.00000000)
## 128) doors=3,4,5more 50 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 129) doors=2 12 2 acc (0.83333333 0.00000000 0.16666667 0.00000000)
## 258) lug_boot=big,med 7 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 259) lug_boot=small 5 2 acc (0.60000000 0.00000000 0.40000000 0.00000000)
## 518) persons=4 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 519) persons=more 2 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 65) buying=low 43 17 acc (0.60465116 0.00000000 0.04651163 0.34883721)
## 130) maint=vhigh 18 1 acc (0.94444444 0.00000000 0.05555556 0.00000000)
## 260) doors=3,4,5more 14 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 261) doors=2 4 1 acc (0.75000000 0.00000000 0.25000000 0.00000000)
## 522) persons=4 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 523) persons=more 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 131) maint=high 25 10 vgood (0.36000000 0.00000000 0.04000000 0.60000000)
## 262) lug_boot=small 7 1 acc (0.85714286 0.00000000 0.14285714 0.00000000)
## 524) doors=3,4 5 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 525) doors=2 2 1 acc (0.50000000 0.00000000 0.50000000 0.00000000)
## 1050) persons=4 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1051) persons=more 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 263) lug_boot=big,med 18 3 vgood (0.16666667 0.00000000 0.00000000 0.83333333)
## 526) doors=2,3 9 3 vgood (0.33333333 0.00000000 0.00000000 0.66666667)
## 1052) persons=4 6 3 acc (0.50000000 0.00000000 0.00000000 0.50000000)
## 2104) lug_boot=med 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2105) lug_boot=big 3 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 1053) persons=more 3 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 527) doors=4,5more 9 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 33) safety=med 96 32 acc (0.66666667 0.00000000 0.33333333 0.00000000)
## 66) lug_boot=big,med 66 10 acc (0.84848485 0.00000000 0.15151515 0.00000000)
## 132) doors=4,5more 35 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 133) doors=2,3 31 10 acc (0.67741935 0.00000000 0.32258065 0.00000000)
## 266) lug_boot=big 17 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 267) lug_boot=med 14 4 unacc (0.28571429 0.00000000 0.71428571 0.00000000)
## 534) buying=low 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 535) buying=med 10 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 67) lug_boot=small 30 8 unacc (0.26666667 0.00000000 0.73333333 0.00000000)
## 134) maint=high 16 8 acc (0.50000000 0.00000000 0.50000000 0.00000000)
## 268) buying=low 10 2 acc (0.80000000 0.00000000 0.20000000 0.00000000)
## 536) doors=3,4,5more 7 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 537) doors=2 3 1 unacc (0.33333333 0.00000000 0.66666667 0.00000000)
## 1074) persons=4 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1075) persons=more 2 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 269) buying=med 6 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 135) maint=vhigh 14 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 17) maint=low,med 207 132 acc (0.36231884 0.31884058 0.04347826 0.27536232)
## 34) safety=med 106 41 acc (0.61320755 0.34905660 0.03773585 0.00000000)
## 68) lug_boot=small 33 4 acc (0.87878788 0.00000000 0.12121212 0.00000000)
## 136) doors=3,4,5more 26 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 137) doors=2 7 3 unacc (0.42857143 0.00000000 0.57142857 0.00000000)
## 274) persons=4 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 275) persons=more 4 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 69) lug_boot=big,med 73 36 good (0.49315068 0.50684932 0.00000000 0.00000000)
## 138) buying=med 40 10 acc (0.75000000 0.25000000 0.00000000 0.00000000)
## 276) maint=med 27 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 277) maint=low 13 3 good (0.23076923 0.76923077 0.00000000 0.00000000)
## 554) lug_boot=med 6 3 acc (0.50000000 0.50000000 0.00000000 0.00000000)
## 1108) doors=2,3 4 1 acc (0.75000000 0.25000000 0.00000000 0.00000000)
## 2216) persons=4 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2217) persons=more 1 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 1109) doors=4,5more 2 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 555) lug_boot=big 7 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 139) buying=low 33 6 good (0.18181818 0.81818182 0.00000000 0.00000000)
## 278) doors=2 12 6 acc (0.50000000 0.50000000 0.00000000 0.00000000)
## 556) lug_boot=med 6 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 557) lug_boot=big 6 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 279) doors=3,4,5more 21 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 35) safety=high 101 44 vgood (0.09900990 0.28712871 0.04950495 0.56435644)
## 70) lug_boot=small 27 9 good (0.14814815 0.66666667 0.18518519 0.00000000)
## 140) doors=3,4,5more 18 4 good (0.22222222 0.77777778 0.00000000 0.00000000)
## 280) maint=med 6 2 acc (0.66666667 0.33333333 0.00000000 0.00000000)
## 560) buying=med 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 561) buying=low 2 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 281) maint=low 12 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 141) doors=2 9 4 unacc (0.00000000 0.44444444 0.55555556 0.00000000)
## 282) persons=4 4 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 283) persons=more 5 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 71) lug_boot=big,med 74 17 vgood (0.08108108 0.14864865 0.00000000 0.77027027)
## 142) doors=2,3 34 17 vgood (0.17647059 0.32352941 0.00000000 0.50000000)
## 284) lug_boot=med 19 8 good (0.31578947 0.57894737 0.00000000 0.10526316)
## 568) maint=med 7 1 acc (0.85714286 0.14285714 0.00000000 0.00000000)
## 1136) buying=med 6 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1137) buying=low 1 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 569) maint=low 12 2 good (0.00000000 0.83333333 0.00000000 0.16666667)
## 1138) persons=4 10 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 1139) persons=more 2 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 285) lug_boot=big 15 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 143) doors=4,5more 40 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 9) buying=high,vhigh 383 166 unacc (0.43342037 0.00000000 0.56657963 0.00000000)
## 18) maint=high,low,med 285 119 acc (0.58245614 0.00000000 0.41754386 0.00000000)
## 36) lug_boot=big,med 186 49 acc (0.73655914 0.00000000 0.26344086 0.00000000)
## 72) maint=low,med 130 21 acc (0.83846154 0.00000000 0.16153846 0.00000000)
## 144) lug_boot=big 68 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 145) lug_boot=med 62 21 acc (0.66129032 0.00000000 0.33870968 0.00000000)
## 290) doors=3,4,5more 45 7 acc (0.84444444 0.00000000 0.15555556 0.00000000)
## 580) doors=4,5more 26 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 581) doors=3 19 7 acc (0.63157895 0.00000000 0.36842105 0.00000000)
## 1162) persons=more 8 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1163) persons=4 11 4 unacc (0.36363636 0.00000000 0.63636364 0.00000000)
## 2326) safety=high 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2327) safety=med 7 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 291) doors=2 17 3 unacc (0.17647059 0.00000000 0.82352941 0.00000000)
## 582) safety=high 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 583) safety=med 14 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 73) maint=high 56 28 acc (0.50000000 0.00000000 0.50000000 0.00000000)
## 146) buying=high 32 4 acc (0.87500000 0.00000000 0.12500000 0.00000000)
## 292) persons=more 16 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 293) persons=4 16 4 acc (0.75000000 0.00000000 0.25000000 0.00000000)
## 586) safety=high 8 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 587) safety=med 8 4 acc (0.50000000 0.00000000 0.50000000 0.00000000)
## 1174) doors=4 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1175) doors=2,3 5 1 unacc (0.20000000 0.00000000 0.80000000 0.00000000)
## 2350) lug_boot=big 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2351) lug_boot=med 4 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 147) buying=vhigh 24 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 37) lug_boot=small 99 29 unacc (0.29292929 0.00000000 0.70707071 0.00000000)
## 74) safety=high 41 12 acc (0.70731707 0.00000000 0.29268293 0.00000000)
## 148) maint=low,med 25 2 acc (0.92000000 0.00000000 0.08000000 0.00000000)
## 296) doors=3,4,5more 18 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 297) doors=2 7 2 acc (0.71428571 0.00000000 0.28571429 0.00000000)
## 594) persons=4 5 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 595) persons=more 2 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 149) maint=high 16 6 unacc (0.37500000 0.00000000 0.62500000 0.00000000)
## 298) buying=high 8 2 acc (0.75000000 0.00000000 0.25000000 0.00000000)
## 596) doors=3,4 5 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 597) doors=2 3 1 unacc (0.33333333 0.00000000 0.66666667 0.00000000)
## 1194) persons=4 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1195) persons=more 2 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 299) buying=vhigh 8 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 75) safety=med 58 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 19) maint=vhigh 98 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 5) persons=2 367 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 3) safety=low 570 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##
## attr(,"class")
## class
## "sclass"
##
## $mtrees[[6]]
## $bindx
## [1] 841 1639 455 1104 518 173 17 547 819 330 1375 933 132
## [14] 502 1155 1087 426 1611 234 911 972 720 143 1699 70 1665
## [27] 947 1105 1642 371 1703 976 51 1187 315 1483 271 1527 1486
## [40] 1389 1669 1546 1092 33 511 1663 734 1508 1457 56 1099 1305
## [53] 165 801 1357 1655 1445 1610 527 134 1625 901 80 1586 265
## [66] 248 212 1327 1607 1217 602 929 845 1168 1608 1131 625 1225
## [79] 1515 356 345 1453 618 1519 747 1344 1679 531 531 909 1690
## [92] 474 780 1094 642 9 1097 1386 750 1484 1367 1359 855 33
## [105] 547 114 370 163 896 529 1722 1043 1425 938 1043 915 1471
## [118] 640 518 563 1319 1214 1152 833 812 1217 1437 764 1359 381
## [131] 151 1465 986 824 860 122 937 1084 1405 1558 607 1075 135
## [144] 724 609 1294 1681 386 1400 907 1321 72 297 477 1535 208
## [157] 313 527 564 456 266 594 1325 1709 197 1472 586 320 822
## [170] 1120 86 301 787 1135 908 394 1575 298 1414 1673 1188 552
## [183] 377 1166 1457 865 1514 699 1061 260 1474 72 92 1728 935
## [196] 226 1193 211 948 588 1361 1133 927 1437 611 1221 1237 210
## [209] 341 705 1298 506 1192 1391 559 1378 260 1331 772 725 743
## [222] 1390 575 1004 894 129 707 491 1183 1077 456 1215 869 1081
## [235] 565 903 454 1694 492 306 1674 881 1003 1300 387 103 118
## [248] 718 771 1641 809 102 283 1641 422 1086 145 234 440 1528
## [261] 664 637 918 780 657 837 1146 1726 1177 1116 1700 398 1207
## [274] 1431 1511 348 1667 444 990 1613 68 1162 1156 1665 1647 1
## [287] 1562 1311 507 15 848 141 510 1137 405 1483 449 1369 1465
## [300] 624 1559 278 1258 1515 987 410 1452 1244 358 1497 1146 887
## [313] 571 317 59 1057 1368 195 438 1124 920 1290 563 507 1253
## [326] 450 545 327 12 161 1643 1672 791 598 1283 1364 7 803
## [339] 1421 208 645 873 1692 532 391 917 1333 175 861 1592 1524
## [352] 1285 529 186 1690 1609 1350 1562 1044 273 1166 838 1505 337
## [365] 1694 5 779 1491 853 239 881 316 698 1420 1494 1194 1153
## [378] 332 480 81 1663 494 416 194 1160 290 387 1283 810 507
## [391] 401 847 303 322 876 433 105 1149 1368 1219 35 132 1698
## [404] 1035 1359 376 685 353 1197 1579 1148 599 962 878 1335 1066
## [417] 363 780 1539 582 1541 1386 1616 1241 1327 848 1222 35 799
## [430] 1187 514 139 602 126 1394 1164 1587 1363 394 937 246 1681
## [443] 200 1047 738 703 1508 648 1599 1043 909 477 943 273 369
## [456] 1323 510 1548 940 69 1018 1001 440 1165 1484 293 594 1043
## [469] 1447 1533 1270 199 1022 137 1034 670 1418 1382 1450 277 887
## [482] 25 1064 1221 1573 1215 1479 1398 631 323 749 189 301 548
## [495] 602 133 1151 240 1653 923 832 1531 515 279 232 1533 1112
## [508] 540 1154 1428 1258 1176 1403 367 476 926 1448 827 1448 1497
## [521] 1401 1332 1046 1234 1248 186 605 403 381 624 527 94 773
## [534] 686 1660 1135 1488 668 1205 1319 1026 754 583 1555 877 653
## [547] 1671 31 649 1153 1293 127 872 771 842 232 1692 111 515
## [560] 1348 1408 1615 1251 938 337 1319 75 956 752 373 1229 624
## [573] 784 1105 919 1229 489 1493 755 525 1358 506 840 152 1256
## [586] 1267 133 880 187 200 902 300 234 298 1499 679 60 475
## [599] 804 831 946 147 255 673 93 1221 1599 1583 611 1603 254
## [612] 104 231 1625 1452 617 693 1689 1508 698 1276 800 1207 1497
## [625] 1531 591 1182 909 1679 1518 1219 376 1574 614 885 542 1237
## [638] 560 1137 108 1575 1004 1076 1691 1636 907 431 795 1396 700
## [651] 1529 56 442 1224 1506 1530 1634 256 15 1204 793 1191 1462
## [664] 930 1207 1134 1347 231 1026 674 1628 841 1700 512 1279 1621
## [677] 1616 214 506 368 321 1285 1316 265 54 101 32 1234 1379
## [690] 1655 1722 1363 472 1369 1256 1289 167 1622 1230 508 107 616
## [703] 258 877 375 275 628 1726 639 1577 1541 949 1721 1231 1591
## [716] 506 691 474 848 1093 559 443 124 434 668 1342 150 186
## [729] 1066 1582 1720 156 892 1306 833 582 196 854 1231 392 1576
## [742] 1050 486 1518 1685 612 379 818 772 1115 1181 439 616 371
## [755] 1189 1265 233 648 1204 511 734 528 270 35 1452 513 498
## [768] 184 828 245 313 1361 579 387 535 427 1092 315 1086 551
## [781] 744 991 964 1458 978 283 1097 789 1391 407 1089 1531 1569
## [794] 78 1297 1447 797 507 349 1251 1602 1451 1028 1100 237 628
## [807] 78 811 1655 490 741 260 968 1110 26 93 301 329 302
## [820] 818 880 1095 105 358 347 1187 952 930 1554 429 1121 655
## [833] 1485 1116 722 212 191 870 1441 356 454 1330 69 983 992
## [846] 1436 171 1311 294 1368 67 145 732 1705 787 1211 931 1551
## [859] 29 984 729 1495 108 537 831 1464 1114 506 972 1725 1383
## [872] 499 784 351 167 1620 1489 1457 304 922 1670 64 1648 414
## [885] 125 700 915 298 432 688 1709 648 708 1081 1139 690 175
## [898] 1513 338 372 1332 747 1182 1557 1623 946 740 1396 899 1340
## [911] 1323 1230 1055 843 806 1482 1720 491 1311 1566 1249 325 1171
## [924] 1083 583 627 1159 1276 1592 550 872 1005 885 611 751 1256
## [937] 1287 917 1040 775 1133 1376 1072 799 529 1619 317 1541 1456
## [950] 1591 1161 1046 432 728 988 559 1566 1247 1353 1373 513 1585
## [963] 382 346 216 395 148 1269 222 1314 220 1113 803 1001 190
## [976] 1303 1643 1424 324 1597 1558 1282 758 556 1127 253 779 976
## [989] 701 1642 1182 1654 634 1304 1009 912 414 1657 468 1277 127
## [1002] 770 766 846 625 1277 1039 420 1709 588 652 20 1294 1621
## [1015] 777 467 875 443 1690 316 582 1342 1190 565 440 986 334
## [1028] 1143 1221 1579 562 1229 1657 308 1584 1669 232 674 1725 1681
## [1041] 343 1027 446 117 619 960 178 1092 1203 1582 1373 744 667
## [1054] 360 1326 370 1340 1358 1 525 1106 779 760 1110 1486 1650
## [1067] 372 13 1492 792 139 667 833 330 832 604 465 791 383
## [1080] 1199 1297 180 1221 710 531 427 514 570 775 98 1316 257
## [1093] 698 1533 471 1159 488 928 254 110 415 1210 55 1127 491
## [1106] 1263 713 599 1236 1548 702 30 74 1507 855 23 188 536
## [1119] 1478 1212 1469 32 1309 224 29 711 1283 311 855 1218 1664
## [1132] 548 236 1507 79 684 937 775 111 614 1241 1236 1082 683
## [1145] 620 321 1626 1218 14 1476 411 210 783 1026 442 234 562
## [1158] 636 132 1423 586 237 1062 126 387 1654 1332 314 1454 904
## [1171] 276 1630 1326 1319 1057 1129 1301 348 1079 1260 1276 907 1343
## [1184] 1087 387 347 444 1112 719 953 437 753 373 498 784 1640
## [1197] 1073 1375 1537 587 898 411 1005 1727 1655 415 874 1189 115
## [1210] 1434 1154 2 1150 654 346 772 55 1059 154 1602 1269 1257
## [1223] 1037 1059 1399 1597 537 962 972 404 16 232 355 112 70
## [1236] 826 478 1168 522 278 724 818 64 1360 1554 1152 1533 1640
## [1249] 1591 927 40 938 1262 1559 121 982 537 1297 1035 233 231
## [1262] 905 915 1267 973 1425 89 525 1133 41 1549 825 77 1673
## [1275] 1635 1443 728 824 375 882 1608 477 1257 393 536 1416 414
## [1288] 1540 393 676 616 1077 542 1093 526 777 715 1175 689 1023
## [1301] 920 1610 1348 704 699 260 1257 1677 787 1273 302 85 764
## [1314] 730 122 1446 589 1631 34 1358 752 882 1003 1384 1307 494
## [1327] 1370 1364 486 184 1324 654 763 1266 1293 1360 959 522 1269
## [1340] 847 962 1357 490 365 445 1265 509 243 1711 868 561 1006
## [1353] 1047 489 249 1160 760 1045 581 938 987 1110 1382 1210 81
## [1366] 348 1149 332 1700 444 712 1381 1495 511 468 1537 183 1696
## [1379] 1157 969 1690 574 723 631 491 245 704 230 215 802 1078
## [1392] 1725 1569 334 883 911 906 886 1682 1014 794 1460 715 560
## [1405] 381 975 533 922 650 336 1420 973 1093 928 104 1242 152
## [1418] 105 391 1333 897 980 501 509 989 1671 431 1262 1219 1144
## [1431] 674 235 504 1097 545 1586 394 1454 822 1115 448 1465 834
## [1444] 99 1293 1623 967 130 123 1393 824 1088 136 1052 56 33
## [1457] 1503 731 273 1589 711 1635 366 76 677 483 160 484 431
## [1470] 42 740 472 369 38 334 173 523 645 376 1374 1283 1286
## [1483] 689 45 1330 1417 157 1001 1579 1545 741 499 678 856 1455
## [1496] 324 143 316 1720 41 770 945 840 1607 138 343 263 564
## [1509] 1401 1670 1021 1583 798 326 962 881 628 1155 1674 1664 770
## [1522] 19 1092 1058 268 840 42 1688 1584 917 509 482 1645 1698
## [1535] 195 1641 1371 364 1493 453 851 20 1010 1326 470 1314 1214
## [1548] 706 1329 172 1451 265 220 568 563 742 282 1639 1451 1390
## [1561] 1509 449 436 1659 30 749 1551 649 761 1234 1106 349 716
## [1574] 21 1360 309 584 1498 760 961 1386 735 570 1301 17 834
## [1587] 607 1290 145 348 1508 437 83 79 619 1441 1634 1356 899
## [1600] 785 629 1356 244 1582 668 1259 845 1485 1233 666 614 1518
## [1613] 487 1235 718 381 110 1004 730 1638 755 678 1677 1080 1663
## [1626] 1167 1136 1471 591 83 329 258 1429 699 962 1558 377 366
## [1639] 1361 635 1720 1476 1349 1658 1533 294 1244 922 727 1268 1411
## [1652] 142 1016 188 1038 887 963 586 714 364 435 1046 1384 1069
## [1665] 1516 987 1615 1039 1569 959 630 1180 373 446 1353 1549 690
## [1678] 626 1524 1164 422 659 539 988 231 617 645 1345 896 834
## [1691] 1647 218 836 670 570 246 499 485 556 26 1386 1367 1360
## [1704] 552 55 1322 141 1609 640 1004 971 924 993 167 1675 1331
## [1717] 225 1156 1057 306 855 1487 1279 886 629 1330 342 759
##
## $btree
## n= 1728
##
## node), split, n, loss, yval, (yprob)
## * denotes terminal node
##
## 1) root 1728 524 unacc (0.22800926 0.03819444 0.69675926 0.03703704)
## 2) safety=high,med 1172 524 unacc (0.33617747 0.05631399 0.55290102 0.05460751)
## 4) persons=4,more 793 399 acc (0.49684741 0.08322825 0.33921816 0.08070618)
## 8) buying=low,med 393 185 acc (0.52926209 0.16793893 0.13994911 0.16284987)
## 16) maint=high,vhigh 196 54 acc (0.72448980 0.00000000 0.22448980 0.05102041)
## 32) lug_boot=big,med 133 21 acc (0.84210526 0.00000000 0.08270677 0.07518797)
## 64) doors=3,4,5more 101 10 acc (0.90099010 0.00000000 0.00990099 0.08910891)
## 128) safety=med 57 1 acc (0.98245614 0.00000000 0.01754386 0.00000000)
## 256) doors=4,5more 39 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 257) doors=3 18 1 acc (0.94444444 0.00000000 0.05555556 0.00000000)
## 514) lug_boot=big 13 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 515) lug_boot=med 5 1 acc (0.80000000 0.00000000 0.20000000 0.00000000)
## 1030) maint=high 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1031) maint=vhigh 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 129) safety=high 44 9 acc (0.79545455 0.00000000 0.00000000 0.20454545)
## 258) buying=med 26 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 259) buying=low 18 9 acc (0.50000000 0.00000000 0.00000000 0.50000000)
## 518) maint=vhigh 8 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 519) maint=high 10 1 vgood (0.10000000 0.00000000 0.00000000 0.90000000)
## 1038) doors=3 3 1 vgood (0.33333333 0.00000000 0.00000000 0.66666667)
## 2076) persons=4 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2077) persons=more 2 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 1039) doors=4,5more 7 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 65) doors=2 32 11 acc (0.65625000 0.00000000 0.31250000 0.03125000)
## 130) safety=high 15 1 acc (0.93333333 0.00000000 0.00000000 0.06666667)
## 260) persons=4 11 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 261) persons=more 4 1 acc (0.75000000 0.00000000 0.00000000 0.25000000)
## 522) maint=vhigh 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 523) maint=high 2 1 acc (0.50000000 0.00000000 0.00000000 0.50000000)
## 1046) lug_boot=med 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1047) lug_boot=big 1 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 131) safety=med 17 7 unacc (0.41176471 0.00000000 0.58823529 0.00000000)
## 262) lug_boot=big 6 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 263) lug_boot=med 11 1 unacc (0.09090909 0.00000000 0.90909091 0.00000000)
## 526) maint=high 3 1 unacc (0.33333333 0.00000000 0.66666667 0.00000000)
## 1052) buying=low 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1053) buying=med 2 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 527) maint=vhigh 8 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 33) lug_boot=small 63 30 unacc (0.47619048 0.00000000 0.52380952 0.00000000)
## 66) safety=high 29 5 acc (0.82758621 0.00000000 0.17241379 0.00000000)
## 132) doors=3,4,5more 21 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 133) doors=2 8 3 unacc (0.37500000 0.00000000 0.62500000 0.00000000)
## 266) persons=4 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 267) persons=more 5 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 67) safety=med 34 6 unacc (0.17647059 0.00000000 0.82352941 0.00000000)
## 134) buying=low 15 6 unacc (0.40000000 0.00000000 0.60000000 0.00000000)
## 268) maint=high 7 1 acc (0.85714286 0.00000000 0.14285714 0.00000000)
## 536) doors=3,4,5more 6 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 537) doors=2 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 269) maint=vhigh 8 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 135) buying=med 19 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 17) maint=low,med 197 131 acc (0.33502538 0.33502538 0.05583756 0.27411168)
## 34) safety=med 100 47 acc (0.53000000 0.44000000 0.03000000 0.00000000)
## 68) lug_boot=small 27 3 acc (0.88888889 0.00000000 0.11111111 0.00000000)
## 136) doors=3,4,5more 22 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 137) doors=2 5 2 unacc (0.40000000 0.00000000 0.60000000 0.00000000)
## 274) persons=4 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 275) persons=more 3 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 69) lug_boot=big,med 73 29 good (0.39726027 0.60273973 0.00000000 0.00000000)
## 138) buying=med 41 17 acc (0.58536585 0.41463415 0.00000000 0.00000000)
## 276) maint=med 20 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 277) maint=low 21 4 good (0.19047619 0.80952381 0.00000000 0.00000000)
## 554) doors=3 5 2 acc (0.60000000 0.40000000 0.00000000 0.00000000)
## 1108) lug_boot=med 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1109) lug_boot=big 2 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 555) doors=2,4,5more 16 1 good (0.06250000 0.93750000 0.00000000 0.00000000)
## 1110) doors=2 4 1 good (0.25000000 0.75000000 0.00000000 0.00000000)
## 2220) lug_boot=med 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2221) lug_boot=big 3 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 1111) doors=4,5more 12 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 139) buying=low 32 5 good (0.15625000 0.84375000 0.00000000 0.00000000)
## 278) doors=2 6 1 acc (0.83333333 0.16666667 0.00000000 0.00000000)
## 556) lug_boot=med 5 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 557) lug_boot=big 1 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 279) doors=3,4,5more 26 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 35) safety=high 97 43 vgood (0.13402062 0.22680412 0.08247423 0.55670103)
## 70) lug_boot=small 32 19 good (0.34375000 0.40625000 0.25000000 0.00000000)
## 140) buying=med 16 5 acc (0.68750000 0.31250000 0.00000000 0.00000000)
## 280) maint=med 11 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 281) maint=low 5 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 141) buying=low 16 8 good (0.00000000 0.50000000 0.50000000 0.00000000)
## 282) doors=3,4,5more 6 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 283) doors=2 10 2 unacc (0.00000000 0.20000000 0.80000000 0.00000000)
## 566) persons=4 2 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 567) persons=more 8 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 71) lug_boot=big,med 65 11 vgood (0.03076923 0.13846154 0.00000000 0.83076923)
## 142) doors=2,3 31 11 vgood (0.06451613 0.29032258 0.00000000 0.64516129)
## 284) lug_boot=med 14 5 good (0.14285714 0.64285714 0.00000000 0.21428571)
## 568) persons=4 9 1 good (0.11111111 0.88888889 0.00000000 0.00000000)
## 1136) buying=med 4 1 good (0.25000000 0.75000000 0.00000000 0.00000000)
## 2272) maint=med 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2273) maint=low 3 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 1137) buying=low 5 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 569) persons=more 5 2 vgood (0.20000000 0.20000000 0.00000000 0.60000000)
## 1138) doors=2 2 1 acc (0.50000000 0.50000000 0.00000000 0.00000000)
## 2276) maint=med 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2277) maint=low 1 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 1139) doors=3 3 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 285) lug_boot=big 17 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 143) doors=4,5more 34 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 9) buying=high,vhigh 400 186 unacc (0.46500000 0.00000000 0.53500000 0.00000000)
## 18) maint=high,low,med 285 99 acc (0.65263158 0.00000000 0.34736842 0.00000000)
## 36) lug_boot=big,med 207 46 acc (0.77777778 0.00000000 0.22222222 0.00000000)
## 72) maint=low,med 149 16 acc (0.89261745 0.00000000 0.10738255 0.00000000)
## 144) safety=high 76 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 145) safety=med 73 16 acc (0.78082192 0.00000000 0.21917808 0.00000000)
## 290) doors=3,4,5more 55 5 acc (0.90909091 0.00000000 0.09090909 0.00000000)
## 580) doors=4,5more 35 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 581) doors=3 20 5 acc (0.75000000 0.00000000 0.25000000 0.00000000)
## 1162) lug_boot=big 10 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1163) lug_boot=med 10 5 acc (0.50000000 0.00000000 0.50000000 0.00000000)
## 2326) persons=more 5 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2327) persons=4 5 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 291) doors=2 18 7 unacc (0.38888889 0.00000000 0.61111111 0.00000000)
## 582) lug_boot=big 7 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 583) lug_boot=med 11 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 73) maint=high 58 28 unacc (0.48275862 0.00000000 0.51724138 0.00000000)
## 146) buying=high 32 4 acc (0.87500000 0.00000000 0.12500000 0.00000000)
## 292) doors=3,4,5more 27 1 acc (0.96296296 0.00000000 0.03703704 0.00000000)
## 584) safety=high 18 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 585) safety=med 9 1 acc (0.88888889 0.00000000 0.11111111 0.00000000)
## 1170) doors=4,5more 7 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1171) doors=3 2 1 acc (0.50000000 0.00000000 0.50000000 0.00000000)
## 2342) lug_boot=big 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2343) lug_boot=med 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 293) doors=2 5 2 unacc (0.40000000 0.00000000 0.60000000 0.00000000)
## 586) safety=high 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 587) safety=med 3 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 147) buying=vhigh 26 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 37) lug_boot=small 78 25 unacc (0.32051282 0.00000000 0.67948718 0.00000000)
## 74) safety=high 37 12 acc (0.67567568 0.00000000 0.32432432 0.00000000)
## 148) doors=3,4,5more 27 5 acc (0.81481481 0.00000000 0.18518519 0.00000000)
## 296) maint=low,med 18 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 297) maint=high 9 4 unacc (0.44444444 0.00000000 0.55555556 0.00000000)
## 594) buying=high 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 595) buying=vhigh 5 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 149) doors=2 10 3 unacc (0.30000000 0.00000000 0.70000000 0.00000000)
## 298) persons=4 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 299) persons=more 7 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 75) safety=med 41 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 19) maint=vhigh 115 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 5) persons=2 379 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 3) safety=low 556 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##
## attr(,"class")
## class
## "sclass"
##
## $mtrees[[7]]
## $bindx
## [1] 1413 254 295 1338 215 1202 131 416 1496 753 93 1334 1717
## [14] 552 829 1129 464 691 303 753 752 1527 494 846 1644 315
## [27] 960 514 368 1141 692 913 19 395 1247 675 1002 1278 1564
## [40] 1660 65 1552 1262 983 387 288 47 1566 1268 1259 215 538
## [53] 187 801 1318 1454 992 263 110 888 1035 471 805 323 1433
## [66] 71 787 1270 1525 696 1256 1287 1057 1506 494 1426 1603 279
## [79] 876 962 688 1064 1436 1409 1196 360 1496 1355 533 1491 561
## [92] 452 393 1616 600 837 1041 1609 1517 967 1659 155 171 795
## [105] 303 199 1165 1051 1290 252 1053 916 1170 84 1363 1590 1416
## [118] 299 465 461 154 1528 663 756 833 361 1465 56 840 1481
## [131] 1469 1639 984 140 1159 1182 1202 1436 587 752 1246 1359 1161
## [144] 155 1452 1465 1154 756 96 1136 1559 1400 1087 851 18 1588
## [157] 1334 1143 177 1706 202 495 245 891 30 179 1574 651 249
## [170] 1137 996 391 830 1215 219 1634 710 652 1274 359 515 1147
## [183] 368 1111 358 1575 1685 604 420 1218 1376 420 329 199 383
## [196] 1533 387 392 498 393 1488 1725 389 1124 157 622 1558 184
## [209] 1671 429 1294 624 297 1332 283 527 1166 98 373 556 1500
## [222] 1148 1421 1144 353 794 1056 58 1048 520 43 238 941 204
## [235] 490 1177 1727 345 1591 1637 1525 443 327 1188 1505 152 740
## [248] 1470 836 1542 478 1278 672 398 1209 387 899 1330 73 1325
## [261] 348 315 1270 525 178 279 1452 412 1726 509 516 507 794
## [274] 1104 31 1216 947 1204 1004 320 1667 1643 375 247 695 136
## [287] 1474 1088 1143 1623 657 20 1064 1407 1523 553 573 791 1162
## [300] 919 1186 785 52 1644 534 157 798 1221 1125 198 318 566
## [313] 1699 1293 1060 384 184 1643 457 785 620 1334 766 603 898
## [326] 747 425 1466 492 1701 1390 1194 199 1045 1607 1269 891 361
## [339] 21 1173 502 739 206 118 1099 408 785 1570 653 645 680
## [352] 644 1385 1149 551 1434 80 1069 670 999 1265 484 1171 1058
## [365] 615 73 1382 1095 1698 1622 1677 477 712 1593 545 1592 1728
## [378] 148 862 1450 649 67 455 1491 225 1443 1257 605 1384 380
## [391] 1014 1267 763 1420 533 1713 753 735 676 68 681 979 458
## [404] 337 1596 1423 1508 1385 582 1092 1047 390 121 114 678 1229
## [417] 843 870 1288 994 745 517 1474 692 821 65 1684 1254 1224
## [430] 1672 562 1156 1396 571 1215 223 876 1319 814 1660 655 1458
## [443] 1448 738 353 279 250 1289 676 72 828 6 1255 1562 704
## [456] 1120 378 972 1057 525 45 659 1631 792 696 1275 457 1661
## [469] 1307 890 1061 116 113 1687 1426 858 1687 982 1666 1003 532
## [482] 152 508 150 369 397 803 745 309 1581 334 201 57 253
## [495] 1527 434 294 362 21 861 1535 1696 931 228 388 633 406
## [508] 492 840 1602 1149 1718 88 1696 1008 1655 383 1490 929 1633
## [521] 833 84 621 1638 317 217 1615 1231 292 1048 1521 1247 1359
## [534] 750 787 907 1511 1194 787 953 232 1121 1632 488 1459 454
## [547] 142 64 1727 654 1312 215 322 331 1707 861 156 832 553
## [560] 324 651 749 1182 1237 220 406 1397 1146 845 842 932 682
## [573] 1602 1384 1139 410 1315 783 1351 794 704 972 347 1240 473
## [586] 1171 1015 584 477 964 894 349 1609 1546 178 1159 861 1220
## [599] 1334 989 1563 540 1129 1523 1311 432 622 370 422 1559 375
## [612] 1455 1699 1725 390 1448 298 601 140 127 1214 1046 919 750
## [625] 533 1430 1288 1718 1199 1452 1397 832 29 1405 82 796 815
## [638] 322 1273 339 546 1071 1295 461 982 1465 1709 327 769 917
## [651] 77 833 1307 191 764 1557 1602 1644 555 1045 941 459 897
## [664] 1277 709 930 478 461 352 1727 1192 934 4 687 800 1101
## [677] 924 735 232 537 1686 199 95 513 201 351 1535 1280 716
## [690] 95 1647 811 463 193 1473 1330 969 928 765 43 1426 85
## [703] 1524 1190 1516 513 1026 955 1566 1260 572 1094 1325 450 105
## [716] 759 356 312 1032 79 78 119 637 548 1003 1520 1563 1450
## [729] 4 96 491 1541 1522 322 164 320 1279 975 1549 437 1113
## [742] 848 1032 464 1684 789 138 560 1718 30 215 1480 1495 1676
## [755] 503 1190 1643 1451 1339 27 401 1561 1090 1484 1079 1416 1496
## [768] 122 189 346 997 652 491 1628 1505 579 1579 310 702 743
## [781] 402 969 321 551 270 180 1616 538 162 675 786 1057 482
## [794] 693 1307 1390 1161 379 590 1558 609 319 354 28 1446 553
## [807] 612 482 636 1481 583 1050 208 990 1639 710 702 723 301
## [820] 1552 1430 618 893 1695 599 107 1541 1659 1192 705 1083 1157
## [833] 1439 1429 1056 1393 1457 1524 1091 1062 858 267 1667 742 711
## [846] 26 258 400 380 472 95 1462 373 945 103 824 1406 958
## [859] 93 733 1678 1587 712 999 79 1458 421 1318 1352 657 1342
## [872] 148 68 1229 1012 317 477 862 1302 201 254 353 685 503
## [885] 1366 1204 1589 1402 145 313 1023 1389 201 272 424 1355 1614
## [898] 1330 967 1721 1044 4 331 1519 56 737 836 1617 786 750
## [911] 1632 101 1728 238 1392 230 718 892 395 1144 1057 1405 228
## [924] 732 830 13 706 1683 1105 572 845 867 587 1433 644 426
## [937] 692 1375 826 1342 1041 199 1367 1296 1199 1521 875 805 1384
## [950] 331 1482 1138 130 280 716 565 1198 1445 1557 378 1300 1708
## [963] 547 369 1101 689 109 1528 1665 899 961 204 671 406 399
## [976] 148 59 797 508 497 1500 672 623 847 1657 656 1 1659
## [989] 1148 1216 318 214 348 1041 1169 1392 381 1297 1450 304 1109
## [1002] 1078 358 1318 38 1302 1388 84 352 123 1067 1163 1442 759
## [1015] 567 111 369 955 1472 1454 745 137 780 635 648 950 249
## [1028] 283 662 141 145 1362 1650 1589 666 1311 72 1000 458 1609
## [1041] 146 370 1161 451 687 727 1385 22 1523 744 1520 73 1606
## [1054] 1181 843 957 1243 1385 104 236 1440 956 180 780 326 1501
## [1067] 651 904 1185 1335 1713 1241 1049 1287 166 518 1410 218 805
## [1080] 282 828 1040 1536 1449 565 533 910 1566 115 448 1179 388
## [1093] 610 580 198 1355 868 909 1150 1551 532 828 645 269 1328
## [1106] 897 1401 1187 1040 822 1668 1224 1577 1426 1443 679 1504 1645
## [1119] 508 1706 594 828 125 602 1470 879 1345 464 1181 750 19
## [1132] 1178 327 555 1535 961 285 592 875 1479 578 544 221 753
## [1145] 357 1445 1039 1608 1674 608 1124 1314 249 1080 1298 554 353
## [1158] 1071 1623 1203 792 1237 624 1430 302 535 110 982 242 462
## [1171] 925 467 1467 883 289 1400 384 385 1080 274 474 981 968
## [1184] 1444 1473 1023 1034 431 943 421 252 437 142 1284 239 752
## [1197] 1524 625 732 749 582 351 836 689 992 60 1659 1509 1217
## [1210] 1587 1554 490 1088 54 1535 1379 535 985 1234 1682 1119 222
## [1223] 150 904 1600 1601 660 560 1480 129 638 714 1694 416 15
## [1236] 467 89 1479 1447 632 1201 729 49 1625 871 1100 224 1110
## [1249] 1479 384 533 915 44 1263 791 209 871 875 129 855 729
## [1262] 448 1596 999 460 280 775 1679 470 32 221 1424 1503 136
## [1275] 1345 380 983 373 1319 71 734 1002 662 1242 131 1203 1093
## [1288] 1467 918 928 777 534 91 595 227 738 756 1227 1489 1277
## [1301] 883 849 1213 857 23 559 882 1353 1403 1529 1151 1066 1509
## [1314] 1113 857 461 426 768 1416 1389 229 413 424 868 826 52
## [1327] 346 483 1268 1266 11 1709 901 1303 728 823 1691 168 227
## [1340] 1430 82 1472 982 1142 1251 331 284 728 936 192 1342 1105
## [1353] 467 318 1338 206 1241 418 1372 1659 843 1109 661 230 756
## [1366] 925 835 478 333 1375 530 1062 1308 709 818 250 359 1045
## [1379] 896 415 346 1703 615 1492 515 990 624 630 1419 33 1606
## [1392] 360 958 460 755 1123 741 477 1626 311 128 1354 1007 1449
## [1405] 1382 975 640 542 1501 562 1178 1702 594 1050 277 446 1611
## [1418] 4 69 1169 1531 155 1075 1115 1176 285 1562 935 305 1418
## [1431] 795 851 65 1276 828 668 464 668 1547 85 1497 1638 298
## [1444] 1646 894 563 750 1197 1257 686 1699 395 1526 870 2 953
## [1457] 1166 1579 785 66 1657 71 303 524 101 1153 1088 1542 1351
## [1470] 1638 1482 865 1233 9 287 1334 1460 1052 1024 118 1275 969
## [1483] 433 341 1618 779 865 863 1151 1117 1379 1384 760 839 860
## [1496] 959 476 782 1321 246 1284 807 423 287 1631 345 104 977
## [1509] 478 1116 1074 38 1509 1108 411 1449 1265 168 974 896 854
## [1522] 574 291 1358 1630 1514 20 14 1396 541 1249 56 278 1654
## [1535] 1342 773 23 515 910 888 175 240 1012 224 1640 1466 922
## [1548] 558 690 465 459 293 437 297 1104 756 1421 1101 971 696
## [1561] 292 221 134 1406 48 1448 1193 1699 1398 648 561 236 1154
## [1574] 1185 103 430 6 511 935 224 1379 1196 1246 45 258 712
## [1587] 1159 287 671 574 1149 677 1592 720 1350 941 1239 619 1352
## [1600] 1289 1252 1222 1572 1200 924 1372 33 58 1090 1605 1177 966
## [1613] 1638 1722 623 454 752 975 1243 236 1557 1401 1541 613 1128
## [1626] 1653 1508 577 1365 305 608 800 1609 37 1011 1061 1034 879
## [1639] 322 274 320 1583 857 1625 456 254 721 890 64 279 1449
## [1652] 1047 1442 74 531 1118 1468 1439 1269 1046 827 558 1609 1473
## [1665] 429 546 9 670 1498 1260 319 793 369 1633 526 38 740
## [1678] 1314 1525 1288 1375 1380 1038 380 1021 1479 1466 1181 1266 443
## [1691] 1653 955 682 220 484 837 911 561 386 883 370 326 487
## [1704] 475 669 181 1175 656 1215 1662 723 1244 270 784 730 554
## [1717] 477 424 175 606 1481 71 1367 945 1133 608 642 1299
##
## $btree
## n= 1728
##
## node), split, n, loss, yval, (yprob)
## * denotes terminal node
##
## 1) root 1728 557 unacc (0.23900463 0.03819444 0.67766204 0.04513889)
## 2) persons=4,more 1169 557 unacc (0.35329341 0.05645851 0.52352438 0.06672370)
## 4) safety=high,med 797 384 acc (0.51819322 0.08281054 0.30112923 0.09786700)
## 8) buying=low,med 389 179 acc (0.53984576 0.16966581 0.08997429 0.20051414)
## 16) maint=high,vhigh 192 46 acc (0.76041667 0.00000000 0.14583333 0.09375000)
## 32) lug_boot=big,med 124 20 acc (0.83870968 0.00000000 0.01612903 0.14516129)
## 64) buying=med 60 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 65) buying=low 64 20 acc (0.68750000 0.00000000 0.03125000 0.28125000)
## 130) safety=med 32 2 acc (0.93750000 0.00000000 0.06250000 0.00000000)
## 260) maint=high 24 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 261) maint=vhigh 8 2 acc (0.75000000 0.00000000 0.25000000 0.00000000)
## 522) doors=4,5more 6 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 523) doors=2 2 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 131) safety=high 32 14 vgood (0.43750000 0.00000000 0.00000000 0.56250000)
## 262) maint=vhigh 12 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 263) maint=high 20 2 vgood (0.10000000 0.00000000 0.00000000 0.90000000)
## 526) doors=2 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 527) doors=3,4,5more 19 1 vgood (0.05263158 0.00000000 0.00000000 0.94736842)
## 1054) doors=3 8 1 vgood (0.12500000 0.00000000 0.00000000 0.87500000)
## 2108) lug_boot=med 2 1 acc (0.50000000 0.00000000 0.00000000 0.50000000)
## 4216) persons=4 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 4217) persons=more 1 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 2109) lug_boot=big 6 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 1055) doors=4,5more 11 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 33) lug_boot=small 68 26 acc (0.61764706 0.00000000 0.38235294 0.00000000)
## 66) safety=high 33 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 67) safety=med 35 9 unacc (0.25714286 0.00000000 0.74285714 0.00000000)
## 134) maint=high 18 9 acc (0.50000000 0.00000000 0.50000000 0.00000000)
## 268) buying=low 10 1 acc (0.90000000 0.00000000 0.10000000 0.00000000)
## 536) doors=3,4,5more 9 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 537) doors=2 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 269) buying=med 8 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 135) maint=vhigh 17 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 17) maint=low,med 197 131 good (0.32487310 0.33502538 0.03553299 0.30456853)
## 34) safety=med 86 32 acc (0.62790698 0.34883721 0.02325581 0.00000000)
## 68) lug_boot=med,small 58 12 acc (0.79310345 0.17241379 0.03448276 0.00000000)
## 136) lug_boot=small 28 2 acc (0.92857143 0.00000000 0.07142857 0.00000000)
## 272) doors=3,4,5more 18 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 273) doors=2 10 2 acc (0.80000000 0.00000000 0.20000000 0.00000000)
## 546) persons=4 8 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 547) persons=more 2 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 137) lug_boot=med 30 10 acc (0.66666667 0.33333333 0.00000000 0.00000000)
## 274) doors=2 12 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 275) doors=3,4,5more 18 8 good (0.44444444 0.55555556 0.00000000 0.00000000)
## 550) persons=4 9 2 acc (0.77777778 0.22222222 0.00000000 0.00000000)
## 1100) doors=3 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1101) doors=4,5more 5 2 acc (0.60000000 0.40000000 0.00000000 0.00000000)
## 2202) buying=med 4 1 acc (0.75000000 0.25000000 0.00000000 0.00000000)
## 4404) maint=med 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 4405) maint=low 1 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 2203) buying=low 1 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 551) persons=more 9 1 good (0.11111111 0.88888889 0.00000000 0.00000000)
## 1102) buying=med 3 1 good (0.33333333 0.66666667 0.00000000 0.00000000)
## 2204) maint=med 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2205) maint=low 2 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 1103) buying=low 6 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 69) lug_boot=big 28 8 good (0.28571429 0.71428571 0.00000000 0.00000000)
## 138) maint=med 12 4 acc (0.66666667 0.33333333 0.00000000 0.00000000)
## 276) buying=med 8 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 277) buying=low 4 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 139) maint=low 16 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 35) safety=high 111 51 vgood (0.09009009 0.32432432 0.04504505 0.54054054)
## 70) lug_boot=small 38 12 good (0.18421053 0.68421053 0.13157895 0.00000000)
## 140) buying=med 16 9 acc (0.43750000 0.31250000 0.25000000 0.00000000)
## 280) maint=med 10 3 acc (0.70000000 0.00000000 0.30000000 0.00000000)
## 560) doors=3,4,5more 6 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 561) doors=2 4 1 unacc (0.25000000 0.00000000 0.75000000 0.00000000)
## 1122) persons=4 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1123) persons=more 3 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 281) maint=low 6 1 good (0.00000000 0.83333333 0.16666667 0.00000000)
## 562) doors=3,4,5more 4 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 563) doors=2 2 1 good (0.00000000 0.50000000 0.50000000 0.00000000)
## 1126) persons=4 1 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 1127) persons=more 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 141) buying=low 22 1 good (0.00000000 0.95454545 0.04545455 0.00000000)
## 282) doors=3,4,5more 16 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 283) doors=2 6 1 good (0.00000000 0.83333333 0.16666667 0.00000000)
## 566) persons=4 5 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 567) persons=more 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 71) lug_boot=big,med 73 13 vgood (0.04109589 0.13698630 0.00000000 0.82191781)
## 142) doors=2 19 11 good (0.15789474 0.42105263 0.00000000 0.42105263)
## 284) lug_boot=med 11 3 good (0.27272727 0.72727273 0.00000000 0.00000000)
## 568) buying=med 5 2 acc (0.60000000 0.40000000 0.00000000 0.00000000)
## 1136) maint=med 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1137) maint=low 2 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 569) buying=low 6 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 285) lug_boot=big 8 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 143) doors=3,4,5more 54 2 vgood (0.00000000 0.03703704 0.00000000 0.96296296)
## 286) doors=3 17 2 vgood (0.00000000 0.11764706 0.00000000 0.88235294)
## 572) lug_boot=med 6 2 vgood (0.00000000 0.33333333 0.00000000 0.66666667)
## 1144) persons=4 2 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 1145) persons=more 4 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 573) lug_boot=big 11 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 287) doors=4,5more 37 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 9) buying=high,vhigh 408 203 unacc (0.49754902 0.00000000 0.50245098 0.00000000)
## 18) maint=low,med 220 53 acc (0.75909091 0.00000000 0.24090909 0.00000000)
## 36) safety=high 119 4 acc (0.96638655 0.00000000 0.03361345 0.00000000)
## 72) doors=3,4,5more 96 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 73) doors=2 23 4 acc (0.82608696 0.00000000 0.17391304 0.00000000)
## 146) lug_boot=big,med 15 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 147) lug_boot=small 8 4 acc (0.50000000 0.00000000 0.50000000 0.00000000)
## 294) persons=4 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 295) persons=more 4 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 37) safety=med 101 49 acc (0.51485149 0.00000000 0.48514851 0.00000000)
## 74) lug_boot=big,med 64 12 acc (0.81250000 0.00000000 0.18750000 0.00000000)
## 148) doors=3,4,5more 51 3 acc (0.94117647 0.00000000 0.05882353 0.00000000)
## 296) doors=4,5more 40 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 297) doors=3 11 3 acc (0.72727273 0.00000000 0.27272727 0.00000000)
## 594) lug_boot=big 8 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 595) lug_boot=med 3 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 149) doors=2 13 4 unacc (0.30769231 0.00000000 0.69230769 0.00000000)
## 298) lug_boot=big 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 299) lug_boot=med 9 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 75) lug_boot=small 37 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 19) maint=high,vhigh 188 36 unacc (0.19148936 0.00000000 0.80851064 0.00000000)
## 38) maint=high 89 36 unacc (0.40449438 0.00000000 0.59550562 0.00000000)
## 76) buying=high 51 15 acc (0.70588235 0.00000000 0.29411765 0.00000000)
## 152) lug_boot=big,med 32 3 acc (0.90625000 0.00000000 0.09375000 0.00000000)
## 304) doors=3,4,5more 23 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 305) doors=2 9 3 acc (0.66666667 0.00000000 0.33333333 0.00000000)
## 610) safety=high 5 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 611) safety=med 4 1 unacc (0.25000000 0.00000000 0.75000000 0.00000000)
## 1222) lug_boot=big 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1223) lug_boot=med 3 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 153) lug_boot=small 19 7 unacc (0.36842105 0.00000000 0.63157895 0.00000000)
## 306) safety=high 10 3 acc (0.70000000 0.00000000 0.30000000 0.00000000)
## 612) doors=3,4,5more 6 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 613) doors=2 4 1 unacc (0.25000000 0.00000000 0.75000000 0.00000000)
## 1226) persons=4 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1227) persons=more 3 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 307) safety=med 9 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 77) buying=vhigh 38 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 39) maint=vhigh 99 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 5) safety=low 372 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 3) persons=2 559 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##
## attr(,"class")
## class
## "sclass"
##
## $mtrees[[8]]
## $bindx
## [1] 46 210 131 1583 1240 122 1240 408 1635 1016 383 105 74
## [14] 1320 1597 1634 815 1054 150 886 1627 1144 1598 262 406 1714
## [27] 1024 835 404 1460 966 152 826 1699 996 910 1213 1162 1728
## [40] 1424 93 540 800 1272 797 571 7 805 1096 787 1633 1674
## [53] 868 444 1707 295 817 981 1020 1178 1280 1100 1119 1199 616
## [66] 1538 412 1099 338 1342 1392 362 1123 60 1383 679 1624 1438
## [79] 528 1648 1372 142 1150 1002 383 160 462 1344 1551 297 1183
## [92] 848 263 1156 902 1588 584 163 195 443 1225 1268 953 249
## [105] 479 1720 1607 161 1049 1254 1532 399 1696 1023 31 1264 891
## [118] 896 756 849 493 670 1217 734 814 586 469 468 872 1163
## [131] 1552 1714 1125 1695 1446 1694 378 500 1221 1679 24 656 1167
## [144] 1081 938 1410 1458 374 1354 1037 641 781 1059 24 1558 1664
## [157] 144 645 549 1023 157 242 520 226 143 805 926 1409 933
## [170] 2 130 1013 575 1693 864 1475 93 1394 646 979 824 140
## [183] 1251 1245 1727 201 1440 755 722 384 1471 528 786 569 1458
## [196] 148 563 356 653 951 247 849 249 767 1394 98 789 1659
## [209] 972 960 925 1342 90 1035 240 555 1188 1034 1481 312 1068
## [222] 1077 503 825 322 1576 376 606 1664 382 1062 1454 1328 735
## [235] 652 1548 1523 711 687 1325 120 3 934 288 672 530 357
## [248] 728 240 1653 1228 549 192 291 904 408 1507 26 1226 1157
## [261] 747 747 370 947 1206 207 1115 649 1185 286 438 227 726
## [274] 468 579 1101 1043 49 888 106 330 1112 446 266 133 733
## [287] 332 1478 518 1442 690 1100 84 1072 900 491 696 1570 189
## [300] 203 1344 508 1320 220 482 13 306 397 1349 333 246 260
## [313] 526 768 410 360 845 766 451 432 627 36 874 694 352
## [326] 206 629 821 1163 924 1070 450 118 43 99 669 335 1262
## [339] 136 650 1033 1422 175 1212 1187 1710 1657 570 1703 363 953
## [352] 457 521 1263 1287 925 1263 1272 1564 1459 14 1115 945 396
## [365] 769 522 1022 1076 1695 896 456 288 1023 1463 1147 172 654
## [378] 956 920 874 96 573 1580 1725 1553 615 1046 757 1044 1628
## [391] 116 224 1637 326 1662 1222 238 129 232 1067 1213 152 1274
## [404] 67 204 547 132 1120 958 68 833 1063 1097 1463 179 1398
## [417] 1623 1030 418 133 706 457 1436 1479 1489 1522 882 1306 537
## [430] 563 1129 1586 1548 685 877 239 93 143 849 1290 999 1713
## [443] 473 1093 621 643 1353 383 1652 430 458 1254 555 1612 1634
## [456] 1573 328 678 209 1092 315 457 575 213 452 202 1077 552
## [469] 1277 1679 1005 640 392 635 700 532 52 664 229 1669 1565
## [482] 208 574 335 363 299 1443 364 172 62 41 236 239 274
## [495] 722 1118 653 462 1651 591 545 711 1408 555 1373 993 1206
## [508] 1014 1487 896 1462 389 1339 1190 545 24 323 1570 1021 1442
## [521] 1648 725 227 1644 944 414 1422 821 1420 730 990 503 344
## [534] 1452 196 13 116 178 480 860 1549 860 537 545 86 222
## [547] 1660 1099 478 924 161 1583 833 892 1329 156 1290 1609 1385
## [560] 310 1150 1259 1052 1054 1625 802 1187 1562 727 918 1692 440
## [573] 1384 1303 537 551 861 353 356 975 389 712 420 1367 703
## [586] 1192 868 1152 1238 1405 1553 938 1297 718 1044 1194 1098 953
## [599] 1219 650 1715 913 1649 1329 1493 1388 368 1071 1433 312 1251
## [612] 1211 527 649 198 618 1356 95 435 619 1302 693 1400 172
## [625] 780 1440 423 668 1110 814 922 1335 447 606 761 62 246
## [638] 1032 320 774 580 1492 141 1434 509 937 127 1723 299 824
## [651] 104 1098 130 670 897 61 49 36 34 785 1175 228 1103
## [664] 50 603 1418 453 307 1186 867 1355 603 1652 152 1309 1008
## [677] 211 876 638 92 651 1271 1660 1381 1361 707 422 233 1567
## [690] 909 738 25 842 274 1686 1155 1282 1105 146 210 74 645
## [703] 1389 453 1455 621 205 1538 44 847 683 1025 484 1467 218
## [716] 682 525 75 430 952 620 1566 1426 1550 1492 1407 1029 1220
## [729] 916 1335 1507 1012 1544 1143 374 1609 767 737 1060 179 161
## [742] 1205 490 1098 1610 1556 562 453 1357 942 1480 1575 1092 1296
## [755] 1254 112 283 1413 6 416 713 284 1321 297 163 1394 1439
## [768] 1364 1173 951 589 766 704 794 1571 1237 106 592 468 535
## [781] 738 1055 658 1342 1416 42 1610 1573 803 1327 622 1135 1511
## [794] 1166 493 1621 117 793 609 194 312 320 167 123 376 17
## [807] 264 1654 330 86 86 1203 1429 178 133 1370 1029 1459 1482
## [820] 583 729 1236 337 1662 1706 889 994 1166 777 1176 1177 607
## [833] 4 1633 222 1190 906 745 33 946 1332 1677 393 1503 1259
## [846] 892 93 574 1700 936 1367 462 846 818 759 52 137 1174
## [859] 1342 1415 1385 736 234 1490 91 1495 1498 19 839 1265 584
## [872] 1091 1019 903 356 1377 1103 224 944 1111 1513 1227 1484 1063
## [885] 1489 956 455 279 917 1495 272 394 339 303 324 56 1579
## [898] 656 167 1008 872 444 22 1675 1244 896 1521 1029 1389 1430
## [911] 1675 1627 61 1055 1223 1186 396 166 1020 32 1717 1603 1049
## [924] 431 1583 570 15 612 609 294 1099 955 1059 191 897 402
## [937] 857 919 1303 917 989 1594 993 247 323 473 128 918 766
## [950] 1488 592 1319 1203 464 471 858 1607 849 1476 388 1408 1680
## [963] 461 1364 1137 1101 1254 1246 1566 1158 908 1578 619 244 1487
## [976] 60 1003 1493 1076 372 1217 1304 1043 1355 55 230 1636 1378
## [989] 1209 1456 1043 1466 707 1432 834 341 316 127 907 1516 645
## [1002] 1374 1596 1413 995 998 1040 899 1456 237 1429 316 306 1185
## [1015] 249 1540 1702 1335 742 257 1544 964 777 1164 1267 1274 696
## [1028] 1368 870 489 1091 370 174 150 1236 412 1498 267 1727 850
## [1041] 1584 1097 114 218 734 406 1704 984 1417 1470 1253 1553 386
## [1054] 897 847 1526 621 905 814 857 908 767 1683 1495 608 335
## [1067] 1246 17 1507 1311 178 83 189 1266 1591 190 945 1355 856
## [1080] 1262 1059 887 947 1414 1226 854 582 1354 1137 1467 790 917
## [1093] 1166 1653 392 888 1523 333 244 1156 834 236 1377 439 1317
## [1106] 179 268 139 686 1669 852 1139 973 999 1047 1349 934 1595
## [1119] 69 835 1640 261 991 953 1476 17 267 1646 714 1338 280
## [1132] 274 81 1252 1395 491 1272 1315 390 1452 1151 487 434 1331
## [1145] 277 200 53 1224 779 1503 1375 439 1623 529 1705 210 352
## [1158] 953 274 573 350 1126 1316 968 863 571 1544 197 129 1573
## [1171] 928 137 1135 774 764 1627 1704 1690 824 807 1040 1594 1515
## [1184] 1507 1447 741 1521 1461 844 688 739 667 578 1468 1322 1309
## [1197] 276 1308 938 255 767 1415 774 692 1091 390 128 1008 667
## [1210] 787 1532 537 490 248 325 14 234 929 473 792 956 1150
## [1223] 84 689 800 1549 1608 1541 1118 63 931 1706 802 1113 627
## [1236] 294 1560 675 1492 155 291 1292 1599 1207 290 1352 620 1633
## [1249] 953 449 488 1653 864 487 1537 78 292 950 821 849 916
## [1262] 276 1147 362 991 1302 701 349 959 1012 611 1514 1442 451
## [1275] 792 1348 805 684 1675 1636 1262 452 81 1437 1542 268 255
## [1288] 1511 1444 1533 1650 297 1457 609 88 761 878 799 1713 1241
## [1301] 1642 1686 222 627 410 1438 839 764 595 294 337 4 555
## [1314] 56 73 201 1449 177 1609 478 1041 119 1054 1273 77 160
## [1327] 1088 387 1213 502 458 1656 886 1609 145 608 1717 929 912
## [1340] 55 617 727 1724 460 1021 1675 21 1163 652 511 1662 381
## [1353] 390 299 211 341 1333 1463 1219 1671 1266 763 282 371 1398
## [1366] 1481 1059 884 855 1653 709 1091 1354 1192 934 1527 1104 709
## [1379] 1613 1687 942 1272 982 375 1638 1598 1228 646 1509 617 1344
## [1392] 662 534 81 1272 865 606 1689 842 1202 1303 1336 1042 930
## [1405] 1456 446 1457 486 1312 1049 1294 594 1081 1604 1046 601 948
## [1418] 1424 1602 400 372 1643 547 391 375 420 483 275 1070 880
## [1431] 1301 1378 725 1550 684 1331 1679 427 968 732 1289 1561 1568
## [1444] 1104 1420 229 1257 1415 116 1343 512 58 1044 1191 1722 1428
## [1457] 946 1606 1265 141 580 479 14 153 1568 460 1140 1283 418
## [1470] 1667 891 1224 1482 1458 757 147 983 1260 51 1678 1158 1596
## [1483] 958 228 1439 231 945 757 3 706 104 1575 866 1599 145
## [1496] 539 1679 1441 1446 506 219 1237 1444 359 544 1613 7 10
## [1509] 1033 1159 60 264 865 381 1319 443 418 1094 325 1322 6
## [1522] 130 219 671 146 920 241 1698 567 1667 1358 87 117 742
## [1535] 1044 1205 511 911 531 933 1549 358 1444 817 530 1520 1090
## [1548] 1340 1701 1219 696 1085 914 1649 1650 945 1306 1434 504 740
## [1561] 220 1087 1071 595 414 1328 1690 156 828 1575 593 478 618
## [1574] 549 1290 1309 220 1272 262 79 1195 883 1057 1476 983 331
## [1587] 12 1462 876 942 657 1408 1204 1341 510 1111 940 1128 617
## [1600] 273 192 485 534 318 601 1681 1277 477 858 664 870 1537
## [1613] 242 494 1083 967 843 66 1095 590 1023 93 565 394 1416
## [1626] 1240 194 1720 1433 474 1008 450 1724 1145 136 665 365 527
## [1639] 1137 886 1378 262 1648 435 1094 410 950 1263 822 1479 919
## [1652] 914 1153 375 1501 576 994 807 250 155 1589 303 1453 2
## [1665] 385 1292 1160 1236 14 1466 87 707 394 771 1455 1519 651
## [1678] 1613 3 757 48 1609 1034 922 977 936 1389 1159 769 489
## [1691] 89 1691 1014 1262 977 1188 12 1006 1085 249 127 1107 789
## [1704] 1401 268 808 90 364 735 1204 1100 259 1534 361 782 1618
## [1717] 382 659 1137 1576 158 988 550 1345 1689 925 438 379
##
## $btree
## n= 1728
##
## node), split, n, loss, yval, (yprob)
## * denotes terminal node
##
## 1) root 1728 504 unacc (0.22106481 0.04108796 0.70833333 0.02951389)
## 2) persons=4,more 1104 504 unacc (0.34601449 0.06431159 0.54347826 0.04619565)
## 4) safety=high,med 751 369 acc (0.50865513 0.09454061 0.32889481 0.06790945)
## 8) buying=low,med 376 166 acc (0.55851064 0.18882979 0.11702128 0.13563830)
## 16) maint=high,med,vhigh 285 93 acc (0.67368421 0.06315789 0.14736842 0.11578947)
## 32) lug_boot=big,med 188 55 acc (0.70744681 0.07978723 0.03723404 0.17553191)
## 64) maint=high,vhigh 136 23 acc (0.83088235 0.00000000 0.05147059 0.11764706)
## 128) buying=med 78 5 acc (0.93589744 0.00000000 0.06410256 0.00000000)
## 256) doors=3,4,5more 64 2 acc (0.96875000 0.00000000 0.03125000 0.00000000)
## 512) doors=4,5more 42 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 513) doors=3 22 2 acc (0.90909091 0.00000000 0.09090909 0.00000000)
## 1026) persons=more 13 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1027) persons=4 9 2 acc (0.77777778 0.00000000 0.22222222 0.00000000)
## 2054) lug_boot=big 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2055) lug_boot=med 5 2 acc (0.60000000 0.00000000 0.40000000 0.00000000)
## 4110) safety=high 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 4111) safety=med 2 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 257) doors=2 14 3 acc (0.78571429 0.00000000 0.21428571 0.00000000)
## 514) safety=high 9 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 515) safety=med 5 2 unacc (0.40000000 0.00000000 0.60000000 0.00000000)
## 1030) lug_boot=big 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1031) lug_boot=med 3 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 129) buying=low 58 18 acc (0.68965517 0.00000000 0.03448276 0.27586207)
## 258) maint=vhigh 28 2 acc (0.92857143 0.00000000 0.07142857 0.00000000)
## 516) doors=3,4,5more 21 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 517) doors=2 7 2 acc (0.71428571 0.00000000 0.28571429 0.00000000)
## 1034) safety=high 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1035) safety=med 4 2 acc (0.50000000 0.00000000 0.50000000 0.00000000)
## 2070) lug_boot=big 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2071) lug_boot=med 2 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 259) maint=high 30 14 vgood (0.46666667 0.00000000 0.00000000 0.53333333)
## 518) safety=med 11 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 519) safety=high 19 3 vgood (0.15789474 0.00000000 0.00000000 0.84210526)
## 1038) lug_boot=med 8 3 vgood (0.37500000 0.00000000 0.00000000 0.62500000)
## 2076) persons=4 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2077) persons=more 6 1 vgood (0.16666667 0.00000000 0.00000000 0.83333333)
## 4154) doors=2 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 4155) doors=3,4,5more 5 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 1039) lug_boot=big 11 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 65) maint=med 52 32 acc (0.38461538 0.28846154 0.00000000 0.32692308)
## 130) safety=med 31 14 acc (0.54838710 0.45161290 0.00000000 0.00000000)
## 260) buying=med 13 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 261) buying=low 18 4 good (0.22222222 0.77777778 0.00000000 0.00000000)
## 522) doors=2,3 9 4 good (0.44444444 0.55555556 0.00000000 0.00000000)
## 1044) lug_boot=med 5 1 acc (0.80000000 0.20000000 0.00000000 0.00000000)
## 2088) persons=4 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2089) persons=more 1 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 1045) lug_boot=big 4 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 523) doors=4,5more 9 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 131) safety=high 21 4 vgood (0.14285714 0.04761905 0.00000000 0.80952381)
## 262) doors=2 8 4 vgood (0.37500000 0.12500000 0.00000000 0.50000000)
## 524) lug_boot=med 4 1 acc (0.75000000 0.25000000 0.00000000 0.00000000)
## 1048) buying=med 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1049) buying=low 1 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 525) lug_boot=big 4 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 263) doors=3,4,5more 13 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 33) lug_boot=small 97 38 acc (0.60824742 0.03092784 0.36082474 0.00000000)
## 66) safety=high 45 9 acc (0.80000000 0.06666667 0.13333333 0.00000000)
## 132) doors=3,4,5more 31 3 acc (0.90322581 0.09677419 0.00000000 0.00000000)
## 264) maint=high,vhigh 24 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 265) maint=med 7 3 acc (0.57142857 0.42857143 0.00000000 0.00000000)
## 530) buying=med 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 531) buying=low 3 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 133) doors=2 14 6 acc (0.57142857 0.00000000 0.42857143 0.00000000)
## 266) persons=4 8 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 267) persons=more 6 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 67) safety=med 52 23 unacc (0.44230769 0.00000000 0.55769231 0.00000000)
## 134) maint=high,med 36 13 acc (0.63888889 0.00000000 0.36111111 0.00000000)
## 268) persons=4 21 3 acc (0.85714286 0.00000000 0.14285714 0.00000000)
## 536) maint=med 12 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 537) maint=high 9 3 acc (0.66666667 0.00000000 0.33333333 0.00000000)
## 1074) buying=low 6 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1075) buying=med 3 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 269) persons=more 15 5 unacc (0.33333333 0.00000000 0.66666667 0.00000000)
## 538) doors=4,5more 7 2 acc (0.71428571 0.00000000 0.28571429 0.00000000)
## 1076) buying=low 5 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1077) buying=med 2 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 539) doors=2,3 8 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 135) maint=vhigh 16 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 17) maint=low 91 38 good (0.19780220 0.58241758 0.02197802 0.19780220)
## 34) safety=med 42 19 good (0.42857143 0.54761905 0.02380952 0.00000000)
## 68) lug_boot=small 14 1 acc (0.92857143 0.00000000 0.07142857 0.00000000)
## 136) doors=3,4,5more 12 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 137) doors=2 2 1 acc (0.50000000 0.00000000 0.50000000 0.00000000)
## 274) buying=med 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 275) buying=low 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 69) lug_boot=big,med 28 5 good (0.17857143 0.82142857 0.00000000 0.00000000)
## 138) doors=2 9 4 acc (0.55555556 0.44444444 0.00000000 0.00000000)
## 276) lug_boot=med 5 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 277) lug_boot=big 4 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 139) doors=3,4,5more 19 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 35) safety=high 49 19 good (0.00000000 0.61224490 0.02040816 0.36734694)
## 70) lug_boot=small 23 1 good (0.00000000 0.95652174 0.04347826 0.00000000)
## 140) doors=3,4,5more 22 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 141) doors=2 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 71) lug_boot=big,med 26 8 vgood (0.00000000 0.30769231 0.00000000 0.69230769)
## 142) doors=2,3 13 5 good (0.00000000 0.61538462 0.00000000 0.38461538)
## 284) lug_boot=med 9 1 good (0.00000000 0.88888889 0.00000000 0.11111111)
## 568) persons=4 6 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 569) persons=more 3 1 good (0.00000000 0.66666667 0.00000000 0.33333333)
## 1138) doors=2 2 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 1139) doors=3 1 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 285) lug_boot=big 4 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 143) doors=4,5more 13 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 9) buying=high,vhigh 375 172 unacc (0.45866667 0.00000000 0.54133333 0.00000000)
## 18) maint=high,low,med 273 101 acc (0.63003663 0.00000000 0.36996337 0.00000000)
## 36) safety=high 145 27 acc (0.81379310 0.00000000 0.18620690 0.00000000)
## 72) maint=low,med 96 4 acc (0.95833333 0.00000000 0.04166667 0.00000000)
## 144) doors=3,4,5more 76 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 145) doors=2 20 4 acc (0.80000000 0.00000000 0.20000000 0.00000000)
## 290) lug_boot=big,med 13 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 291) lug_boot=small 7 3 unacc (0.42857143 0.00000000 0.57142857 0.00000000)
## 582) persons=4 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 583) persons=more 4 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 73) maint=high 49 23 acc (0.53061224 0.00000000 0.46938776 0.00000000)
## 146) buying=high 26 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 147) buying=vhigh 23 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 37) safety=med 128 54 unacc (0.42187500 0.00000000 0.57812500 0.00000000)
## 74) lug_boot=big,med 81 27 acc (0.66666667 0.00000000 0.33333333 0.00000000)
## 148) doors=4,5more 38 5 acc (0.86842105 0.00000000 0.13157895 0.00000000)
## 296) maint=low,med 23 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 297) maint=high 15 5 acc (0.66666667 0.00000000 0.33333333 0.00000000)
## 594) buying=high 10 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 595) buying=vhigh 5 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 149) doors=2,3 43 21 unacc (0.48837209 0.00000000 0.51162791 0.00000000)
## 298) lug_boot=big 23 6 acc (0.73913043 0.00000000 0.26086957 0.00000000)
## 596) maint=low,med 14 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 597) maint=high 9 3 unacc (0.33333333 0.00000000 0.66666667 0.00000000)
## 1194) buying=high 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1195) buying=vhigh 6 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 299) lug_boot=med 20 4 unacc (0.20000000 0.00000000 0.80000000 0.00000000)
## 598) doors=3 9 4 unacc (0.44444444 0.00000000 0.55555556 0.00000000)
## 1196) persons=more 5 1 acc (0.80000000 0.00000000 0.20000000 0.00000000)
## 2392) maint=low,med 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2393) maint=high 2 1 acc (0.50000000 0.00000000 0.50000000 0.00000000)
## 4786) buying=high 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 4787) buying=vhigh 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 1197) persons=4 4 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 599) doors=2 11 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 75) lug_boot=small 47 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 19) maint=vhigh 102 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 5) safety=low 353 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 3) persons=2 624 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##
## attr(,"class")
## class
## "sclass"
##
## $mtrees[[9]]
## $bindx
## [1] 17 847 947 380 1389 1383 1665 877 977 457 193 1074 806
## [14] 147 258 1470 432 179 1272 710 179 446 1079 231 1591 1218
## [27] 1482 279 1418 1365 1265 959 497 1272 1032 855 1376 1189 1366
## [40] 822 79 1360 55 1194 964 1482 1337 549 556 806 1132 209
## [53] 604 1679 1599 490 546 711 1621 885 142 584 578 368 1692
## [66] 824 1417 587 469 869 1450 1613 673 351 1290 305 1707 405
## [79] 1459 264 683 181 5 857 384 1356 1130 820 952 1482 536
## [92] 939 102 362 957 1163 862 258 1612 67 174 200 1267 1643
## [105] 1689 1472 1441 655 1346 301 386 430 1278 1644 54 1356 416
## [118] 75 188 1126 1031 1631 1094 1707 124 705 351 726 481 246
## [131] 1150 722 702 1231 614 79 34 1076 1251 1305 1327 893 1196
## [144] 45 1306 833 1576 412 1311 767 632 1372 909 927 869 1295
## [157] 368 278 809 41 727 1288 1650 197 8 938 1246 804 793
## [170] 1021 73 1722 936 75 694 209 1582 881 129 871 991 312
## [183] 308 419 1628 296 866 1228 909 1637 383 971 1312 1077 846
## [196] 1113 1276 1524 659 529 573 1183 664 792 632 155 1063 565
## [209] 1369 1272 1102 1481 498 875 325 941 1537 1017 54 1662 1203
## [222] 814 1370 1551 1152 1255 445 64 198 1501 1070 1631 1217 445
## [235] 246 1678 455 1297 644 1384 586 102 1619 264 1160 528 272
## [248] 348 1345 640 1650 951 1152 240 208 175 1365 1039 388 108
## [261] 468 279 807 472 682 1296 368 445 435 1251 521 1374 480
## [274] 1444 184 1448 327 609 1380 1227 245 1168 834 27 1324 738
## [287] 190 768 203 984 1462 943 1430 924 237 1667 191 1003 99
## [300] 691 7 190 351 1659 172 1391 1313 170 265 55 598 13
## [313] 1556 1390 1406 804 682 197 629 790 767 1083 276 390 1101
## [326] 999 1240 335 181 124 336 530 1492 80 308 878 797 709
## [339] 1393 510 467 155 388 1607 1043 1334 583 445 1554 1594 520
## [352] 80 1334 1423 112 1714 670 1097 1096 569 535 1166 571 406
## [365] 1619 1518 1565 204 331 1440 246 1475 1384 52 1141 555 2
## [378] 1172 97 1329 1253 611 1438 274 317 98 1304 748 1322 123
## [391] 960 1574 591 1034 61 270 1098 1443 743 85 200 103 1183
## [404] 339 694 781 98 327 1613 1727 1672 849 193 836 704 441
## [417] 858 1330 420 175 1163 168 1307 265 448 678 1119 1029 1431
## [430] 695 70 39 212 520 1270 59 649 446 63 992 377 1
## [443] 1719 862 574 506 1685 852 1168 429 521 916 1024 238 1326
## [456] 1086 1487 1555 590 59 1079 411 695 424 1255 5 1555 26
## [469] 347 1156 230 189 1517 1443 1178 1310 931 1265 1172 1642 631
## [482] 1024 1174 999 1679 976 1462 1025 1298 1420 274 1450 1518 1205
## [495] 956 1503 1693 1322 959 381 1568 418 659 124 317 877 876
## [508] 105 654 1216 1624 1218 1623 484 944 497 1431 934 275 498
## [521] 786 1645 440 1469 268 216 537 599 355 749 544 88 180
## [534] 529 286 235 1022 1214 1116 781 426 1142 92 852 814 432
## [547] 1323 939 1391 1503 754 374 616 1576 181 1210 865 1570 533
## [560] 1581 1497 1500 1717 130 804 1497 1118 1504 178 1299 272 1669
## [573] 448 1477 565 1653 271 299 983 506 168 890 3 1508 1173
## [586] 401 1317 1525 1296 306 1032 503 240 782 912 1501 1701 122
## [599] 1043 1589 450 845 924 276 992 1683 1292 237 120 110 1608
## [612] 1555 1081 357 1178 1078 1294 1261 286 1146 1250 267 688 835
## [625] 559 849 200 1438 195 498 1087 213 17 1471 1543 1071 239
## [638] 561 200 1092 1411 1182 878 730 216 248 436 666 430 1704
## [651] 1246 354 187 1716 1546 988 948 1488 1366 1718 1022 212 907
## [664] 512 432 1507 544 461 1465 1280 1044 1415 558 1318 50 1543
## [677] 388 1691 1354 290 157 248 1076 537 1473 309 767 623 483
## [690] 820 488 503 902 630 1265 1720 115 905 569 575 1020 440
## [703] 255 347 897 1310 989 747 1524 1030 841 1703 759 1570 1522
## [716] 633 775 907 1482 1152 676 1649 680 767 1046 150 632 1002
## [729] 1019 939 1072 793 904 749 487 995 157 902 536 139 1672
## [742] 433 903 495 685 30 838 339 1556 1037 1148 473 583 38
## [755] 4 1699 1337 635 77 1260 1121 1505 1664 1707 272 1359 346
## [768] 434 1664 1397 785 396 921 697 197 909 352 1147 1429 1458
## [781] 433 1622 844 1547 286 66 932 632 1174 998 1081 981 496
## [794] 848 818 993 578 374 671 195 551 1378 574 1692 453 891
## [807] 302 443 1518 810 234 664 439 1085 1452 1469 23 1271 93
## [820] 1398 1209 1545 193 105 796 162 658 271 889 223 900 969
## [833] 509 637 29 1595 931 89 407 1284 1036 233 939 1209 1351
## [846] 870 502 1172 1665 1650 678 58 1453 1556 1192 606 898 1190
## [859] 1552 1570 151 1577 449 516 1704 611 1633 969 988 869 758
## [872] 694 803 1019 701 673 1292 787 1493 1063 857 1468 246 74
## [885] 658 1077 335 1000 883 380 923 106 1668 191 732 1077 289
## [898] 1647 997 296 439 199 448 675 1357 189 1200 809 1258 1026
## [911] 290 1096 1158 709 221 830 11 1509 1567 1536 588 1664 1256
## [924] 870 145 317 1201 322 1631 1590 72 1527 656 1539 825 982
## [937] 261 1090 34 552 827 1064 813 1244 1300 881 1449 787 1713
## [950] 518 969 916 25 773 24 682 1092 1184 1218 360 570 1564
## [963] 1237 1542 953 745 1444 1485 691 1505 369 1260 1629 476 275
## [976] 495 1255 1012 185 1234 1500 777 103 1062 588 866 1144 380
## [989] 344 1363 1340 1360 734 759 206 83 1037 1033 1429 844 1269
## [1002] 764 114 289 54 1545 1343 1236 1095 569 884 507 197 434
## [1015] 801 374 1516 390 345 1239 642 1130 1045 459 760 540 1661
## [1028] 1233 756 1588 687 1137 947 1221 692 988 1529 1195 775 1383
## [1041] 600 542 449 1046 199 919 494 185 182 754 1451 355 272
## [1054] 868 72 463 797 1073 354 114 533 1079 276 1252 45 1515
## [1067] 1411 112 172 59 81 217 340 469 488 793 379 832 987
## [1080] 730 753 653 1198 56 711 1056 1571 1432 1522 576 1506 201
## [1093] 719 1723 1272 1338 164 716 729 607 1171 391 475 117 516
## [1106] 1480 1284 771 428 296 548 447 1015 632 605 132 1596 375
## [1119] 6 108 1398 260 376 47 883 903 590 1200 1203 1201 1452
## [1132] 1638 1393 312 1088 439 1052 207 655 851 1188 1253 1389 1264
## [1145] 1412 250 451 1480 1524 693 48 77 1494 1582 206 682 611
## [1158] 1410 622 950 9 1397 85 880 551 1186 983 1149 1388 1712
## [1171] 1457 845 769 1587 831 229 197 1156 222 197 695 1525 1688
## [1184] 719 296 591 1668 308 828 694 1537 558 279 360 1398 938
## [1197] 1526 1068 812 1268 944 1395 1362 1106 1652 1023 757 804 546
## [1210] 275 1553 1580 483 70 1359 927 963 1489 772 288 692 1200
## [1223] 1704 1383 735 898 1128 1612 258 1692 1373 950 237 378 1464
## [1236] 937 162 1514 711 247 1607 483 266 512 1638 1088 584 748
## [1249] 1598 610 1358 1090 392 1286 844 1380 516 1610 1181 843 1431
## [1262] 683 87 717 734 653 429 1245 1317 1153 629 753 1596 462
## [1275] 210 1461 233 1328 235 1543 1066 152 73 1491 853 876 1239
## [1288] 263 838 1529 1006 1535 1178 1293 63 1196 163 1156 448 589
## [1301] 1042 767 640 1036 1041 826 1392 1474 1408 691 858 1238 1415
## [1314] 1222 267 438 331 540 797 329 1067 1439 1485 667 1003 765
## [1327] 584 1472 221 586 1701 789 1157 811 461 1557 620 835 916
## [1340] 853 1280 615 722 1260 1218 1101 733 1572 920 1092 150 848
## [1353] 1657 1174 1296 1050 111 1056 320 977 1624 606 177 649 1308
## [1366] 57 1664 1476 1007 760 1446 389 1040 173 1516 189 1556 992
## [1379] 1552 800 1667 392 1112 1587 736 185 34 922 79 571 484
## [1392] 1400 830 398 1298 766 519 139 38 199 925 321 858 1049
## [1405] 1061 1698 639 826 1206 1618 1378 1387 64 1679 892 587 763
## [1418] 1517 859 725 81 1045 899 1210 504 372 1263 292 912 866
## [1431] 1267 679 1031 158 515 251 1547 728 1532 489 1618 533 123
## [1444] 374 123 394 330 778 1211 292 724 681 1542 189 252 786
## [1457] 471 1618 561 354 1490 269 1360 1694 1503 1010 778 1490 738
## [1470] 1722 885 884 837 461 58 1443 1665 1570 1280 109 914 320
## [1483] 351 21 293 654 777 460 377 1003 722 759 1481 153 1041
## [1496] 264 724 579 1123 1501 108 35 859 1578 570 663 1554 1369
## [1509] 1727 874 333 1175 1479 1331 364 1177 600 1494 1304 654 576
## [1522] 276 185 1180 348 269 1599 303 293 938 1179 742 1508 24
## [1535] 618 1279 1432 281 68 910 662 1493 1332 383 1719 126 691
## [1548] 1536 746 303 1261 1343 94 1651 1346 941 1473 676 190 249
## [1561] 455 971 570 415 1536 1684 661 669 192 71 1678 156 30
## [1574] 518 464 280 507 351 678 1246 1003 1517 507 1621 134 597
## [1587] 956 1149 1362 288 575 1479 978 1092 297 1102 1274 1497 1103
## [1600] 177 1101 745 1066 61 694 726 1513 347 1543 363 1119 857
## [1613] 438 885 280 848 1113 455 1699 1706 1156 40 208 1123 1303
## [1626] 184 1438 1693 658 73 1397 676 214 459 1484 1110 1547 529
## [1639] 1181 260 1077 260 1689 955 1414 336 1357 869 61 1121 1613
## [1652] 1672 783 1426 1594 440 511 559 483 1446 317 1017 821 1502
## [1665] 498 907 427 1399 41 272 1695 1105 734 609 1203 231 1592
## [1678] 445 130 1241 1502 88 851 906 286 1406 737 1214 131 465
## [1691] 1089 10 116 383 1493 1341 1524 1290 1121 338 1435 1289 1104
## [1704] 1064 1414 1051 585 900 366 792 1104 591 953 396 1595 666
## [1717] 223 1128 477 938 714 1452 84 125 571 363 1598 835
##
## $btree
## n= 1728
##
## node), split, n, loss, yval, (yprob)
## * denotes terminal node
##
## 1) root 1728 512 unacc (0.21643519 0.04224537 0.70370370 0.03761574)
## 2) persons=4,more 1163 512 unacc (0.32158212 0.06276870 0.55975924 0.05588994)
## 4) safety=high,med 800 426 acc (0.46750000 0.09125000 0.36000000 0.08125000)
## 8) buying=low,med 391 194 acc (0.50383632 0.18670077 0.14322251 0.16624041)
## 16) maint=high,vhigh 206 70 acc (0.66019417 0.00000000 0.24271845 0.09708738)
## 32) lug_boot=big,med 122 28 acc (0.77049180 0.00000000 0.06557377 0.16393443)
## 64) buying=med 62 4 acc (0.93548387 0.00000000 0.06451613 0.00000000)
## 128) doors=3,4,5more 50 1 acc (0.98000000 0.00000000 0.02000000 0.00000000)
## 256) doors=4,5more 37 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 257) doors=3 13 1 acc (0.92307692 0.00000000 0.07692308 0.00000000)
## 514) safety=high 8 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 515) safety=med 5 1 acc (0.80000000 0.00000000 0.20000000 0.00000000)
## 1030) persons=more 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1031) persons=4 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 129) doors=2 12 3 acc (0.75000000 0.00000000 0.25000000 0.00000000)
## 258) lug_boot=big 8 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 259) lug_boot=med 4 1 unacc (0.25000000 0.00000000 0.75000000 0.00000000)
## 518) safety=high 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 519) safety=med 3 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 65) buying=low 60 24 acc (0.60000000 0.00000000 0.06666667 0.33333333)
## 130) safety=med 29 4 acc (0.86206897 0.00000000 0.13793103 0.00000000)
## 260) doors=4,5more 15 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 261) doors=2,3 14 4 acc (0.71428571 0.00000000 0.28571429 0.00000000)
## 522) lug_boot=big 7 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 523) lug_boot=med 7 3 unacc (0.42857143 0.00000000 0.57142857 0.00000000)
## 1046) persons=more 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1047) persons=4 5 1 unacc (0.20000000 0.00000000 0.80000000 0.00000000)
## 2094) maint=high 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2095) maint=vhigh 4 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 131) safety=high 31 11 vgood (0.35483871 0.00000000 0.00000000 0.64516129)
## 262) maint=vhigh 9 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 263) maint=high 22 2 vgood (0.09090909 0.00000000 0.00000000 0.90909091)
## 526) doors=3 4 2 acc (0.50000000 0.00000000 0.00000000 0.50000000)
## 1052) lug_boot=med 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1053) lug_boot=big 2 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 527) doors=2,4,5more 18 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 33) lug_boot=small 84 42 acc (0.50000000 0.00000000 0.50000000 0.00000000)
## 66) safety=high 41 6 acc (0.85365854 0.00000000 0.14634146 0.00000000)
## 132) doors=3,4,5more 31 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 133) doors=2 10 4 unacc (0.40000000 0.00000000 0.60000000 0.00000000)
## 266) persons=4 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 267) persons=more 6 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 67) safety=med 43 7 unacc (0.16279070 0.00000000 0.83720930 0.00000000)
## 134) buying=low 17 7 unacc (0.41176471 0.00000000 0.58823529 0.00000000)
## 268) maint=high 7 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 269) maint=vhigh 10 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 135) buying=med 26 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 17) maint=low,med 185 112 good (0.32972973 0.39459459 0.03243243 0.24324324)
## 34) safety=med 87 40 acc (0.54022989 0.44827586 0.01149425 0.00000000)
## 68) lug_boot=med,small 54 13 acc (0.75925926 0.22222222 0.01851852 0.00000000)
## 136) lug_boot=small 25 1 acc (0.96000000 0.00000000 0.04000000 0.00000000)
## 272) doors=3,4,5more 21 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 273) doors=2 4 1 acc (0.75000000 0.00000000 0.25000000 0.00000000)
## 546) maint=low 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 547) maint=med 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 137) lug_boot=med 29 12 acc (0.58620690 0.41379310 0.00000000 0.00000000)
## 274) doors=2,3 14 1 acc (0.92857143 0.07142857 0.00000000 0.00000000)
## 548) maint=med 10 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 549) maint=low 4 1 acc (0.75000000 0.25000000 0.00000000 0.00000000)
## 1098) buying=low 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1099) buying=med 2 1 acc (0.50000000 0.50000000 0.00000000 0.00000000)
## 2198) doors=2 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2199) doors=3 1 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 275) doors=4,5more 15 4 good (0.26666667 0.73333333 0.00000000 0.00000000)
## 550) maint=med 8 4 acc (0.50000000 0.50000000 0.00000000 0.00000000)
## 1100) buying=med 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1101) buying=low 4 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 551) maint=low 7 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 69) lug_boot=big 33 6 good (0.18181818 0.81818182 0.00000000 0.00000000)
## 138) buying=med 13 6 good (0.46153846 0.53846154 0.00000000 0.00000000)
## 276) maint=med 6 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 277) maint=low 7 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 139) buying=low 20 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 35) safety=high 98 53 vgood (0.14285714 0.34693878 0.05102041 0.45918367)
## 70) lug_boot=small 39 16 good (0.28205128 0.58974359 0.12820513 0.00000000)
## 140) buying=med 24 13 acc (0.45833333 0.33333333 0.20833333 0.00000000)
## 280) maint=med 14 3 acc (0.78571429 0.00000000 0.21428571 0.00000000)
## 560) persons=4 8 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 561) persons=more 6 3 acc (0.50000000 0.00000000 0.50000000 0.00000000)
## 1122) doors=3,5more 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1123) doors=2 3 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 281) maint=low 10 2 good (0.00000000 0.80000000 0.20000000 0.00000000)
## 562) doors=3,4,5more 5 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 563) doors=2 5 2 good (0.00000000 0.60000000 0.40000000 0.00000000)
## 1126) persons=4 3 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 1127) persons=more 2 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 141) buying=low 15 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 71) lug_boot=big,med 59 14 vgood (0.05084746 0.18644068 0.00000000 0.76271186)
## 142) doors=2,3 27 14 vgood (0.11111111 0.40740741 0.00000000 0.48148148)
## 284) lug_boot=med 16 5 good (0.18750000 0.68750000 0.00000000 0.12500000)
## 568) buying=low 8 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 569) buying=med 8 5 acc (0.37500000 0.37500000 0.00000000 0.25000000)
## 1138) maint=med 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1139) maint=low 5 2 good (0.00000000 0.60000000 0.00000000 0.40000000)
## 2278) doors=2 3 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 2279) doors=3 2 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 285) lug_boot=big 11 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 143) doors=4,5more 32 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 9) buying=high,vhigh 409 177 unacc (0.43276284 0.00000000 0.56723716 0.00000000)
## 18) maint=low,med 207 61 acc (0.70531401 0.00000000 0.29468599 0.00000000)
## 36) lug_boot=big,med 130 11 acc (0.91538462 0.00000000 0.08461538 0.00000000)
## 72) doors=3,4,5more 98 3 acc (0.96938776 0.00000000 0.03061224 0.00000000)
## 144) doors=4,5more 56 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 145) doors=3 42 3 acc (0.92857143 0.00000000 0.07142857 0.00000000)
## 290) buying=vhigh 26 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 291) buying=high 16 3 acc (0.81250000 0.00000000 0.18750000 0.00000000)
## 582) lug_boot=big 10 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 583) lug_boot=med 6 3 acc (0.50000000 0.00000000 0.50000000 0.00000000)
## 1166) persons=more 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1167) persons=4 3 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 73) doors=2 32 8 acc (0.75000000 0.00000000 0.25000000 0.00000000)
## 146) safety=high 20 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 147) safety=med 12 4 unacc (0.33333333 0.00000000 0.66666667 0.00000000)
## 294) lug_boot=big 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 295) lug_boot=med 8 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 37) lug_boot=small 77 27 unacc (0.35064935 0.00000000 0.64935065 0.00000000)
## 74) safety=high 34 7 acc (0.79411765 0.00000000 0.20588235 0.00000000)
## 148) doors=3,4,5more 24 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 149) doors=2 10 3 unacc (0.30000000 0.00000000 0.70000000 0.00000000)
## 298) persons=4 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 299) persons=more 7 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 75) safety=med 43 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 19) maint=high,vhigh 202 31 unacc (0.15346535 0.00000000 0.84653465 0.00000000)
## 38) buying=high 97 31 unacc (0.31958763 0.00000000 0.68041237 0.00000000)
## 76) maint=high 46 15 acc (0.67391304 0.00000000 0.32608696 0.00000000)
## 152) lug_boot=big,med 22 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 153) lug_boot=small 24 9 unacc (0.37500000 0.00000000 0.62500000 0.00000000)
## 306) safety=high 11 2 acc (0.81818182 0.00000000 0.18181818 0.00000000)
## 612) doors=3,4,5more 8 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 613) doors=2 3 1 unacc (0.33333333 0.00000000 0.66666667 0.00000000)
## 1226) persons=4 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1227) persons=more 2 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 307) safety=med 13 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 77) maint=vhigh 51 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 39) buying=vhigh 105 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 5) safety=low 363 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 3) persons=2 565 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##
## attr(,"class")
## class
## "sclass"
##
## $mtrees[[10]]
## $bindx
## [1] 1241 1639 1705 1035 347 1055 880 1523 174 469 563 1514 585
## [14] 1303 786 1718 671 77 922 1160 1227 1208 1288 572 531 771
## [27] 1287 764 1481 1497 46 1128 1361 2 622 185 300 889 442
## [40] 565 626 1041 1143 1436 952 483 1038 1452 1716 489 1711 933
## [53] 1102 1114 419 905 708 1034 387 682 64 191 1189 1560 383
## [66] 728 621 1147 198 868 40 1025 806 1188 1594 1211 197 1630
## [79] 779 368 1043 1181 134 188 1204 665 1656 1480 879 127 324
## [92] 1230 840 1170 287 575 778 1496 919 1435 1219 799 1407 1130
## [105] 484 1614 1500 1291 824 204 1352 1077 529 349 931 983 1169
## [118] 1232 1643 1344 753 134 959 861 878 1214 652 1027 761 868
## [131] 405 852 1409 1106 1584 1419 791 594 72 1601 359 815 1621
## [144] 1077 82 1425 468 982 584 1004 232 1677 1426 550 765 498
## [157] 1534 20 1679 923 1518 70 984 880 325 365 416 1056 310
## [170] 964 1268 1272 1531 871 1004 1590 333 1376 1615 534 1480 687
## [183] 1017 1299 418 1106 83 1687 117 925 791 1696 367 1493 1206
## [196] 1652 1555 485 361 549 1222 611 1437 1463 155 407 506 1109
## [209] 75 1398 1111 608 768 1044 1067 328 1618 1158 1663 678 604
## [222] 1340 457 1715 1060 304 826 494 1050 377 388 286 839 217
## [235] 868 955 187 608 879 1056 468 952 1475 1677 1162 187 534
## [248] 1255 1564 729 229 622 1215 1059 977 834 1416 203 679 675
## [261] 1497 139 508 1363 1120 14 42 758 980 752 1093 894 300
## [274] 792 634 1007 645 767 1714 986 1101 1611 1692 291 1208 1579
## [287] 1442 117 190 95 337 264 1641 114 905 274 291 971 1615
## [300] 529 918 637 788 1473 1439 292 631 1038 1543 813 1372 223
## [313] 1365 1133 1696 19 1137 1455 1447 674 414 1270 1053 626 60
## [326] 294 1003 1423 199 857 714 651 19 1717 350 1624 752 1353
## [339] 848 857 1242 623 1106 135 202 923 258 1693 370 1678 414
## [352] 1461 1302 689 1181 122 483 965 644 1717 1095 1376 557 1541
## [365] 637 295 1110 355 958 552 207 1245 1622 715 758 377 334
## [378] 1563 928 1120 1541 497 1033 1226 1699 425 1321 1335 98 212
## [391] 1152 340 640 1338 927 1074 1290 1694 1465 1479 777 30 57
## [404] 1466 193 82 735 160 925 1582 815 1195 871 74 1247 1714
## [417] 149 1586 613 425 213 6 1133 84 703 1417 1498 738 533
## [430] 1295 1045 854 736 1157 209 461 656 212 287 4 641 1506
## [443] 594 711 1435 1583 333 1501 1259 314 584 982 326 896 80
## [456] 1306 518 568 146 1077 1030 503 921 1271 1130 534 1248 902
## [469] 526 860 1007 1234 972 1286 1193 7 1583 1662 1696 787 370
## [482] 182 1534 1449 343 1175 1554 738 1449 825 811 1477 1459 493
## [495] 1376 943 156 715 662 136 49 971 160 519 505 1029 1073
## [508] 231 1147 871 1190 871 1124 14 1237 1475 1718 669 1238 614
## [521] 1449 1462 1352 1041 756 1532 843 78 889 1675 80 343 117
## [534] 723 67 826 1574 242 282 1482 204 67 523 584 541 544
## [547] 829 1587 1043 242 507 765 1398 959 761 1172 232 1136 196
## [560] 344 267 963 306 1151 1720 1092 1608 530 69 1080 1474 445
## [573] 1580 711 1436 594 415 1186 1555 1690 1213 181 19 1241 858
## [586] 251 512 718 1269 532 603 978 1125 1368 1089 1315 1506 233
## [599] 1402 739 994 505 804 1594 602 755 1431 1567 178 1456 1420
## [612] 1689 1356 1201 662 10 1207 1657 1679 1492 46 1364 774 238
## [625] 1339 476 208 226 1656 1616 1424 787 450 944 451 882 201
## [638] 156 668 1354 86 1511 445 737 1036 449 1258 388 212 115
## [651] 1002 1469 1307 391 703 324 1272 1663 348 458 208 495 1546
## [664] 1552 1641 1138 974 461 673 1334 756 713 1022 1364 631 1013
## [677] 921 190 1447 1379 1359 1560 590 868 711 271 1515 1431 448
## [690] 1352 1529 1367 798 1033 961 865 393 1521 1432 451 1361 385
## [703] 679 795 961 77 1183 249 1629 863 1508 340 1672 1518 754
## [716] 929 981 871 1445 1606 671 883 1496 21 1434 207 745 784
## [729] 579 192 229 581 673 1018 43 1494 1002 1377 1114 734 1470
## [742] 365 681 245 886 1682 657 417 48 246 671 1293 864 1451
## [755] 1622 748 1157 1701 336 668 671 629 408 1426 381 560 679
## [768] 632 1162 256 302 1218 664 224 1187 589 90 938 707 951
## [781] 916 1692 1136 506 224 366 228 582 1544 1142 715 76 132
## [794] 1646 281 583 1118 296 701 242 1014 1566 284 570 478 1555
## [807] 279 467 290 1288 462 961 1340 1099 986 1322 1363 1335 1371
## [820] 1238 1362 1109 323 1213 1585 808 150 1043 376 1463 284 1014
## [833] 710 1602 1544 1206 1431 1447 313 74 1050 923 1158 1319 834
## [846] 983 770 1476 378 588 1191 200 348 130 1453 660 1227 887
## [859] 910 594 1026 657 455 766 1695 1610 872 1447 1632 1343 983
## [872] 799 824 152 531 299 576 180 822 325 924 1133 855 468
## [885] 714 645 1443 381 836 655 130 1530 1115 618 1484 155 593
## [898] 970 945 970 128 1474 1388 958 269 361 1286 399 1436 1201
## [911] 1496 1161 35 1071 1403 1223 628 1663 783 68 651 1215 701
## [924] 900 525 1618 83 1622 1458 573 1442 422 1033 1430 1702 1438
## [937] 1723 1063 1128 1165 927 155 1095 1257 1207 1166 1716 564 407
## [950] 1447 844 1460 1597 336 447 415 865 214 1689 271 88 1533
## [963] 939 1606 1515 1267 1108 1154 1613 199 281 686 2 1398 32
## [976] 773 89 1013 946 361 879 1397 1345 898 94 1585 96 367
## [989] 284 1367 316 554 1001 733 191 481 499 1262 196 128 401
## [1002] 1270 1600 1698 1232 1178 624 967 827 931 1452 933 879 1432
## [1015] 668 1416 667 907 1212 1422 512 985 1064 271 208 581 1628
## [1028] 44 446 132 699 410 676 1176 499 1531 354 646 1607 592
## [1041] 1550 351 1569 1028 1104 582 255 1519 1104 1201 1177 1717 1724
## [1054] 744 1056 1196 1529 1198 383 1089 1226 701 888 1419 1231 302
## [1067] 875 609 673 770 1696 516 991 542 683 1129 1269 245 332
## [1080] 150 1566 163 860 744 963 666 1645 1159 1229 1564 224 1072
## [1093] 644 36 314 566 1455 1180 371 1327 1193 442 120 190 746
## [1106] 760 634 1375 870 1199 1516 379 282 553 1109 546 110 1440
## [1119] 248 9 414 1656 1207 898 1011 438 1554 1449 310 155 803
## [1132] 1591 1608 1347 1401 1597 300 303 792 1326 928 202 1435 1090
## [1145] 1291 143 1171 175 926 983 169 1065 1332 1161 222 30 834
## [1158] 783 898 210 849 505 100 62 363 1679 94 1107 346 812
## [1171] 1140 440 42 278 803 1322 989 1683 958 1413 1276 1554 698
## [1184] 306 1563 1230 1504 218 1277 1637 137 170 1153 1121 589 1329
## [1197] 443 444 726 1151 929 1364 347 151 1337 1373 162 5 718
## [1210] 582 113 282 1232 443 273 796 572 1361 401 1236 1637 1451
## [1223] 1445 128 114 1231 75 1058 224 1489 320 155 47 787 1253
## [1236] 610 1512 1569 1000 897 1062 619 675 771 221 1670 82 976
## [1249] 1229 1561 1111 1677 726 245 489 1468 1679 1203 81 650 666
## [1262] 1283 1213 60 1273 779 534 397 1172 1058 769 258 1687 701
## [1275] 683 623 1655 1667 223 1578 1686 816 1394 1532 364 1 1128
## [1288] 1551 1131 116 676 26 574 1588 1157 951 864 773 860 1684
## [1301] 352 681 728 1707 1209 835 469 715 815 278 704 1113 811
## [1314] 572 159 1356 414 1646 38 1298 575 967 321 74 1357 1687
## [1327] 1045 645 676 254 399 129 622 1351 61 1555 1523 829 398
## [1340] 391 1020 854 70 57 576 682 81 1084 972 1273 63 1698
## [1353] 883 1558 1297 1348 1274 1131 322 1642 562 1033 664 426 265
## [1366] 1146 664 982 1210 997 741 886 743 390 385 370 1632 1495
## [1379] 346 351 1710 745 767 1027 1402 1699 517 781 639 1221 1598
## [1392] 865 1683 1090 1063 1501 164 1469 1396 521 1457 690 1156 380
## [1405] 1406 548 1491 1023 901 74 1017 1023 746 1193 1386 1362 717
## [1418] 311 438 126 824 1708 1389 902 1535 250 505 1711 321 956
## [1431] 963 367 837 1 1674 1357 1301 264 1634 577 1635 1614 1525
## [1444] 498 1087 1529 366 1665 295 69 145 460 89 1315 206 136
## [1457] 1216 583 274 548 286 405 66 1064 1385 515 641 73 953
## [1470] 614 415 17 1177 559 956 87 1454 428 1498 1680 48 1200
## [1483] 784 245 1299 727 947 559 797 535 1105 435 28 312 1061
## [1496] 903 1181 1320 16 1379 1228 239 203 685 1208 23 317 1262
## [1509] 1430 648 1679 1499 388 1669 1063 1264 1282 48 258 19 406
## [1522] 1188 565 1450 1064 1307 450 791 1555 928 20 890 246 1469
## [1535] 256 314 574 1672 1418 1084 1377 336 1376 1289 604 389 83
## [1548] 328 472 1515 364 399 659 299 873 1298 734 345 655 1038
## [1561] 709 669 1640 258 1105 6 51 497 1494 1286 879 1436 665
## [1574] 17 686 1009 1611 708 1575 559 1494 1645 1338 108 1596 1197
## [1587] 1704 64 1395 722 243 667 1467 834 1660 781 119 1614 905
## [1600] 1635 1053 369 594 1164 1285 1491 284 1689 932 1141 1690 1080
## [1613] 213 428 1706 1453 319 1333 922 479 929 1105 714 825 105
## [1626] 1209 958 1013 2 1228 567 630 416 1544 1349 152 137 1262
## [1639] 914 1614 1350 1119 385 469 347 882 476 351 1239 1507 359
## [1652] 756 835 94 1513 1418 752 928 957 1589 494 1342 1423 1299
## [1665] 355 932 656 705 1338 1711 561 131 269 449 2 1023 1525
## [1678] 182 1241 684 1103 1461 1634 185 344 1051 642 1360 288 1160
## [1691] 1510 351 744 1560 672 1184 196 1037 668 1192 594 21 392
## [1704] 865 204 878 400 7 48 615 489 543 1560 1095 151 979
## [1717] 1601 219 1564 1332 770 1059 1318 438 609 646 1042 1652
##
## $btree
## n= 1728
##
## node), split, n, loss, yval, (yprob)
## * denotes terminal node
##
## 1) root 1728 525 unacc (0.23032407 0.03761574 0.69618056 0.03587963)
## 2) safety=high,med 1149 525 unacc (0.34638816 0.05657093 0.54308094 0.05395997)
## 4) persons=4,more 776 378 acc (0.51288660 0.08376289 0.32345361 0.07989691)
## 8) buying=low,med 386 182 acc (0.52849741 0.16839378 0.14248705 0.16062176)
## 16) maint=high,vhigh 201 59 acc (0.70646766 0.00000000 0.21393035 0.07960199)
## 32) safety=high 101 17 acc (0.83168317 0.00000000 0.00990099 0.15841584)
## 64) buying=med 49 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 65) buying=low 52 17 acc (0.67307692 0.00000000 0.01923077 0.30769231)
## 130) maint=vhigh 22 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 131) maint=high 30 14 vgood (0.43333333 0.00000000 0.03333333 0.53333333)
## 262) lug_boot=small 12 1 acc (0.91666667 0.00000000 0.08333333 0.00000000)
## 524) doors=3,4,5more 9 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 525) doors=2 3 1 acc (0.66666667 0.00000000 0.33333333 0.00000000)
## 1050) persons=4 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1051) persons=more 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 263) lug_boot=big,med 18 2 vgood (0.11111111 0.00000000 0.00000000 0.88888889)
## 526) doors=2 6 2 vgood (0.33333333 0.00000000 0.00000000 0.66666667)
## 1052) lug_boot=med 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1053) lug_boot=big 4 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 527) doors=3,4,5more 12 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 33) safety=med 100 42 acc (0.58000000 0.00000000 0.42000000 0.00000000)
## 66) lug_boot=big 29 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 67) lug_boot=med,small 71 29 unacc (0.40845070 0.00000000 0.59154930 0.00000000)
## 134) buying=low 34 12 acc (0.64705882 0.00000000 0.35294118 0.00000000)
## 268) maint=high 19 1 acc (0.94736842 0.00000000 0.05263158 0.00000000)
## 536) doors=3,4,5more 16 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 537) doors=2 3 1 acc (0.66666667 0.00000000 0.33333333 0.00000000)
## 1074) persons=4 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1075) persons=more 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 269) maint=vhigh 15 4 unacc (0.26666667 0.00000000 0.73333333 0.00000000)
## 538) lug_boot=med 6 2 acc (0.66666667 0.00000000 0.33333333 0.00000000)
## 1076) doors=4 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1077) doors=2,3 2 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 539) lug_boot=small 9 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 135) buying=med 37 7 unacc (0.18918919 0.00000000 0.81081081 0.00000000)
## 270) lug_boot=med 18 7 unacc (0.38888889 0.00000000 0.61111111 0.00000000)
## 540) doors=4,5more 5 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 541) doors=2,3 13 2 unacc (0.15384615 0.00000000 0.84615385 0.00000000)
## 1082) persons=more 3 1 acc (0.66666667 0.00000000 0.33333333 0.00000000)
## 2164) doors=3 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2165) doors=2 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 1083) persons=4 10 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 271) lug_boot=small 19 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 17) maint=low,med 185 120 good (0.33513514 0.35135135 0.06486486 0.24864865)
## 34) safety=med 92 41 acc (0.55434783 0.38043478 0.06521739 0.00000000)
## 68) lug_boot=small 28 6 acc (0.78571429 0.00000000 0.21428571 0.00000000)
## 136) doors=3,4,5more 19 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 137) doors=2 9 3 unacc (0.33333333 0.00000000 0.66666667 0.00000000)
## 274) persons=4 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 275) persons=more 6 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 69) lug_boot=big,med 64 29 good (0.45312500 0.54687500 0.00000000 0.00000000)
## 138) maint=med 33 10 acc (0.69696970 0.30303030 0.00000000 0.00000000)
## 276) buying=med 22 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 277) buying=low 11 1 good (0.09090909 0.90909091 0.00000000 0.00000000)
## 554) persons=more 3 1 good (0.33333333 0.66666667 0.00000000 0.00000000)
## 1108) doors=2 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1109) doors=4,5more 2 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 555) persons=4 8 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 139) maint=low 31 6 good (0.19354839 0.80645161 0.00000000 0.00000000)
## 278) lug_boot=med 12 6 acc (0.50000000 0.50000000 0.00000000 0.00000000)
## 556) doors=2 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 557) doors=3,5more 8 2 good (0.25000000 0.75000000 0.00000000 0.00000000)
## 1114) persons=4 4 2 acc (0.50000000 0.50000000 0.00000000 0.00000000)
## 2228) doors=3 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2229) doors=5more 2 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 1115) persons=more 4 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 279) lug_boot=big 19 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 35) safety=high 93 47 vgood (0.11827957 0.32258065 0.06451613 0.49462366)
## 70) lug_boot=small 32 12 good (0.18750000 0.62500000 0.18750000 0.00000000)
## 140) doors=3,4,5more 22 5 good (0.22727273 0.77272727 0.00000000 0.00000000)
## 280) buying=med 9 4 acc (0.55555556 0.44444444 0.00000000 0.00000000)
## 560) maint=med 5 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 561) maint=low 4 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 281) buying=low 13 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 141) doors=2 10 4 unacc (0.10000000 0.30000000 0.60000000 0.00000000)
## 282) persons=4 4 1 good (0.25000000 0.75000000 0.00000000 0.00000000)
## 564) maint=med 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 565) maint=low 3 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 283) persons=more 6 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 71) lug_boot=big,med 61 15 vgood (0.08196721 0.16393443 0.00000000 0.75409836)
## 142) doors=2,3 32 15 vgood (0.15625000 0.31250000 0.00000000 0.53125000)
## 284) lug_boot=med 20 10 good (0.25000000 0.50000000 0.00000000 0.25000000)
## 568) persons=4 12 3 good (0.25000000 0.75000000 0.00000000 0.00000000)
## 1136) buying=med 6 3 acc (0.50000000 0.50000000 0.00000000 0.00000000)
## 2272) maint=med 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2273) maint=low 3 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 1137) buying=low 6 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 569) persons=more 8 3 vgood (0.25000000 0.12500000 0.00000000 0.62500000)
## 1138) doors=2 3 1 acc (0.66666667 0.33333333 0.00000000 0.00000000)
## 2276) maint=med 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2277) maint=low 1 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 1139) doors=3 5 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 285) lug_boot=big 12 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 143) doors=4,5more 29 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 9) buying=high,vhigh 390 194 unacc (0.49743590 0.00000000 0.50256410 0.00000000)
## 18) maint=low,med 209 53 acc (0.74641148 0.00000000 0.25358852 0.00000000)
## 36) safety=high 99 4 acc (0.95959596 0.00000000 0.04040404 0.00000000)
## 72) doors=3,4,5more 71 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 73) doors=2 28 4 acc (0.85714286 0.00000000 0.14285714 0.00000000)
## 146) lug_boot=big,med 18 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 147) lug_boot=small 10 4 acc (0.60000000 0.00000000 0.40000000 0.00000000)
## 294) persons=4 6 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 295) persons=more 4 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 37) safety=med 110 49 acc (0.55454545 0.00000000 0.44545455 0.00000000)
## 74) lug_boot=big,med 80 19 acc (0.76250000 0.00000000 0.23750000 0.00000000)
## 148) doors=3,4,5more 55 4 acc (0.92727273 0.00000000 0.07272727 0.00000000)
## 296) doors=4,5more 40 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 297) doors=3 15 4 acc (0.73333333 0.00000000 0.26666667 0.00000000)
## 594) persons=more 10 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 595) persons=4 5 1 unacc (0.20000000 0.00000000 0.80000000 0.00000000)
## 1190) lug_boot=big 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1191) lug_boot=med 4 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 149) doors=2 25 10 unacc (0.40000000 0.00000000 0.60000000 0.00000000)
## 298) lug_boot=big 10 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 299) lug_boot=med 15 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 75) lug_boot=small 30 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 19) maint=high,vhigh 181 38 unacc (0.20994475 0.00000000 0.79005525 0.00000000)
## 38) buying=high 85 38 unacc (0.44705882 0.00000000 0.55294118 0.00000000)
## 76) maint=high 49 11 acc (0.77551020 0.00000000 0.22448980 0.00000000)
## 152) safety=high 27 1 acc (0.96296296 0.00000000 0.03703704 0.00000000)
## 304) doors=3,4,5more 23 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 305) doors=2 4 1 acc (0.75000000 0.00000000 0.25000000 0.00000000)
## 610) lug_boot=big,med 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 611) lug_boot=small 2 1 acc (0.50000000 0.00000000 0.50000000 0.00000000)
## 1222) persons=4 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1223) persons=more 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 153) safety=med 22 10 acc (0.54545455 0.00000000 0.45454545 0.00000000)
## 306) lug_boot=big,med 16 4 acc (0.75000000 0.00000000 0.25000000 0.00000000)
## 612) lug_boot=big 7 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 613) lug_boot=med 9 4 acc (0.55555556 0.00000000 0.44444444 0.00000000)
## 1226) doors=4,5more 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1227) doors=2,3 5 1 unacc (0.20000000 0.00000000 0.80000000 0.00000000)
## 2454) persons=more 2 1 acc (0.50000000 0.00000000 0.50000000 0.00000000)
## 4908) doors=3 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 4909) doors=2 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 2455) persons=4 3 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 307) lug_boot=small 6 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 77) maint=vhigh 36 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 39) buying=vhigh 96 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 5) persons=2 373 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 3) safety=low 579 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##
## attr(,"class")
## class
## "sclass"
##
## $mtrees[[11]]
## $bindx
## [1] 1695 789 1688 1177 1372 59 668 1229 1274 1603 1004 1587 109
## [14] 11 54 289 704 77 1209 111 4 414 382 741 957 1533
## [27] 63 496 1194 1665 502 685 1671 341 1257 1139 244 777 1329
## [40] 1276 1697 740 701 1325 79 774 314 241 553 359 649 1062
## [53] 1613 198 1052 173 159 921 335 34 1397 460 85 1504 1124
## [66] 329 430 1524 994 663 188 1469 208 1704 1226 368 379 133
## [79] 668 625 201 434 668 809 259 192 86 838 480 98 66
## [92] 1178 1507 1654 684 457 1186 639 616 1080 657 330 480 933
## [105] 1110 618 213 11 1114 916 964 1291 582 331 1035 1200 445
## [118] 548 265 310 1604 1200 1670 867 107 658 936 1027 686 660
## [131] 1367 557 1506 1194 678 1555 1141 1228 927 706 1052 72 1124
## [144] 441 1575 221 1111 537 1000 659 594 1676 766 711 1228 1085
## [157] 1072 224 1455 580 1354 115 1707 574 1723 1694 966 1256 1142
## [170] 773 1596 1233 950 166 877 1072 126 553 1631 280 692 863
## [183] 1561 1599 350 1018 1544 1631 1661 1223 1699 1405 367 900 359
## [196] 155 600 741 202 1009 1657 171 1679 385 464 908 1041 1583
## [209] 388 1272 1514 1682 153 733 553 1429 1161 1557 1447 1201 270
## [222] 1225 627 1425 430 1174 35 477 1591 824 602 1348 435 1342
## [235] 1204 416 426 267 1634 705 692 321 785 802 1423 791 1423
## [248] 1197 756 1278 1352 492 1117 1136 1625 7 1010 970 360 666
## [261] 1281 1697 1028 73 1307 492 641 1593 914 410 1710 14 1290
## [274] 1645 153 808 670 1664 988 703 1496 1372 162 1388 492 960
## [287] 658 640 678 741 175 73 449 1597 395 1158 1332 497 1261
## [300] 963 662 163 6 1106 1106 717 336 1713 580 661 1484 1546
## [313] 527 691 1031 548 789 313 965 1461 882 1577 1055 377 464
## [326] 161 1215 872 186 751 48 378 106 24 311 783 756 169
## [339] 1320 617 888 564 169 450 1604 385 102 224 1103 157 1690
## [352] 228 973 1513 1520 73 1672 234 432 968 185 912 765 1682
## [365] 481 912 884 1175 819 341 663 904 1524 5 1580 1253 471
## [378] 778 594 683 1669 452 969 501 909 761 971 1577 1139 1719
## [391] 67 1097 99 253 1475 1024 1401 1022 380 540 886 1291 29
## [404] 1304 21 104 1529 973 586 25 424 1725 1067 612 291 535
## [417] 133 150 518 681 1447 1334 231 396 1075 575 1068 1036 1206
## [430] 1443 321 876 1711 319 1309 1075 252 963 578 1289 210 533
## [443] 30 1405 1197 384 1646 169 1044 383 1512 449 323 997 1074
## [456] 590 456 646 1481 1101 1610 1214 1339 428 379 829 592 1648
## [469] 344 965 1493 848 997 21 1719 1635 1360 1129 722 1445 401
## [482] 1696 832 1196 846 860 1042 1299 12 681 477 1304 493 1263
## [495] 1654 139 846 1158 21 1180 217 743 82 355 1595 781 168
## [508] 1681 235 1080 1572 1721 372 1652 1646 1505 857 467 400 1493
## [521] 632 563 1471 1331 818 1070 1539 423 1234 1396 1520 647 1699
## [534] 1270 1076 1016 238 990 812 463 255 1613 139 613 1006 148
## [547] 417 127 687 1147 494 1229 785 922 589 309 923 1412 321
## [560] 687 930 295 1656 613 1062 1229 951 1665 1649 1657 1647 1175
## [573] 1607 277 1286 1201 1306 1130 1203 1011 765 105 1034 762 592
## [586] 927 1071 1131 1437 1017 229 80 1213 98 1560 699 1672 832
## [599] 1060 1702 375 1038 188 216 227 260 1331 1627 1446 1388 582
## [612] 322 1032 1269 1591 516 355 1274 1340 552 1287 1054 534 53
## [625] 13 953 1688 305 816 931 699 998 618 565 1206 1054 838
## [638] 402 205 1437 1496 1171 867 1662 833 297 1702 417 1227 11
## [651] 1497 1070 1371 1361 1662 1302 784 1445 1218 1295 878 510 297
## [664] 738 1417 1217 1607 858 855 1081 940 1697 471 656 396 1649
## [677] 180 406 117 76 1586 826 505 1031 331 818 659 348 113
## [690] 796 799 1205 1031 127 1475 1059 968 215 127 428 428 1450
## [703] 1717 188 832 1297 3 817 672 570 794 538 765 1625 523
## [716] 695 600 859 1016 1490 988 177 1022 1490 1001 1410 194 1168
## [729] 370 1452 661 1594 1021 326 618 10 1306 1567 592 815 1173
## [742] 1610 1026 1133 1013 354 1393 1006 1715 1255 427 1511 799 157
## [755] 876 557 467 1588 1643 379 28 1174 328 252 1225 1711 132
## [768] 305 1361 340 1710 395 1554 1620 645 1577 129 85 1019 1520
## [781] 1418 86 97 1727 132 364 708 1702 629 831 1443 124 1097
## [794] 576 219 877 596 463 493 1284 445 756 1540 1438 1116 365
## [807] 1682 368 1055 1727 305 1204 394 1298 599 399 1437 773 611
## [820] 1098 824 1206 221 1024 1133 477 203 42 1095 1410 840 1680
## [833] 1271 1023 1533 95 785 1477 833 60 171 364 1435 575 1207
## [846] 250 492 305 1013 78 118 1503 1280 129 1277 1327 864 32
## [859] 474 1463 730 1165 1 1083 1717 204 1104 465 1080 294 832
## [872] 774 805 852 523 158 1534 1584 806 819 415 609 419 258
## [885] 6 1272 1408 1698 994 280 1189 165 1450 258 550 151 91
## [898] 645 1052 960 531 1600 1297 203 999 463 1463 701 12 270
## [911] 1643 1447 362 199 1388 78 1424 1357 478 1346 1229 12 1013
## [924] 798 1182 1390 117 1261 22 446 998 1633 1689 1407 1031 757
## [937] 322 1310 1381 775 719 1647 189 267 72 772 1565 656 1250
## [950] 390 1697 605 690 639 1221 878 1615 662 125 663 1147 449
## [963] 940 1400 921 376 999 1323 1213 341 1370 1367 439 201 1376
## [976] 1425 356 43 113 462 1566 1096 132 147 18 1177 915 54
## [989] 302 1594 1025 695 440 1552 1326 157 1225 617 662 746 655
## [1002] 164 1163 1652 880 405 358 399 621 367 1447 222 739 1424
## [1015] 480 1344 1378 21 926 585 1699 697 984 825 1652 810 1684
## [1028] 907 1152 1324 813 469 163 1491 749 1653 631 129 896 1161
## [1041] 88 1295 565 211 852 1294 749 946 1168 203 1637 89 1535
## [1054] 318 490 1135 411 1083 216 242 867 1018 815 1721 378 259
## [1067] 649 1300 629 77 1600 850 1105 864 135 1129 520 1659 908
## [1080] 1119 1305 1517 1515 1616 1441 1511 406 854 1651 1329 473 21
## [1093] 438 1047 170 1106 223 180 1673 1301 192 1218 199 883 165
## [1106] 1080 256 1727 856 728 1690 263 379 59 87 507 475 187
## [1119] 848 1304 798 1162 1676 1296 935 1113 184 408 1544 1056 236
## [1132] 1182 642 1387 1417 1338 1245 1026 56 1098 838 1444 1111 745
## [1145] 603 451 182 20 1580 35 1433 563 924 1420 904 931 1698
## [1158] 986 694 933 84 18 513 1024 1720 174 884 1661 7 114
## [1171] 933 1346 9 1394 1013 1165 1435 111 362 301 142 1528 1340
## [1184] 414 768 736 1624 463 670 981 345 202 1334 1269 472 187
## [1197] 714 1286 243 796 608 74 1007 213 588 1137 456 74 1063
## [1210] 1070 1203 1476 1102 1223 343 543 1659 244 83 90 1661 761
## [1223] 527 135 1150 635 886 295 430 625 11 813 1067 1728 874
## [1236] 356 523 1296 11 1275 368 1013 636 1477 518 816 413 1343
## [1249] 16 471 578 810 1613 1042 931 973 253 1292 26 906 524
## [1262] 944 922 1658 145 1668 1205 1097 561 214 1073 974 112 198
## [1275] 52 578 864 966 1655 100 1698 1465 1693 255 67 1171 853
## [1288] 132 1015 1374 506 437 967 1435 402 1059 1551 382 1018 746
## [1301] 1129 1286 421 1411 400 553 201 311 454 1156 4 678 534
## [1314] 542 1624 1080 1397 28 1534 263 1304 1229 104 1726 1213 1581
## [1327] 816 1251 1585 729 311 1077 465 76 23 1385 403 751 578
## [1340] 401 926 1649 846 1382 390 1574 1281 961 940 895 494 316
## [1353] 479 1394 856 559 447 1324 1394 800 1206 558 181 1684 718
## [1366] 1254 1223 1604 843 1606 624 239 1115 398 937 1469 845 1129
## [1379] 1309 777 133 569 1642 290 755 1157 77 257 1269 602 1715
## [1392] 283 57 1256 1283 811 680 207 1207 1284 296 20 399 442
## [1405] 240 783 1300 147 637 1233 1656 984 1038 1129 943 1036 1043
## [1418] 1078 1535 1524 1662 451 131 776 160 809 1155 1440 1586 574
## [1431] 1450 772 931 276 892 131 939 1142 612 812 356 121 1703
## [1444] 592 1320 966 498 1121 467 223 1046 1728 1681 1402 797 697
## [1457] 811 1247 560 187 1482 1474 1404 991 76 792 419 538 559
## [1470] 734 1525 423 1648 836 180 357 1518 1262 1311 1220 1218 431
## [1483] 1474 1682 261 1672 419 122 786 42 641 839 561 529 426
## [1496] 1450 1494 1269 253 924 1350 1707 44 1055 617 1691 507 1060
## [1509] 351 13 39 761 1143 768 487 1270 511 1545 1099 292 68
## [1522] 1010 474 1401 326 531 1659 1504 627 891 983 1665 794 1194
## [1535] 791 169 586 361 1417 119 1457 713 1717 1618 1480 1402 11
## [1548] 162 1455 197 1108 1710 1466 1637 1037 1024 565 1093 590 1306
## [1561] 648 1361 655 34 1584 1432 1132 1442 1281 1153 1590 1304 809
## [1574] 1578 319 1464 405 377 1325 1705 650 642 262 638 887 569
## [1587] 410 468 454 1510 1223 1310 1010 1240 560 275 1247 1345 420
## [1600] 358 1040 987 793 77 758 10 257 1126 1453 1008 968 367
## [1613] 782 398 1348 1601 650 782 931 1535 576 367 370 817 249
## [1626] 638 1206 790 1123 292 1008 133 1618 287 538 219 1505 1010
## [1639] 1654 1715 95 1434 1430 1569 588 790 661 207 215 1506 582
## [1652] 312 1696 1379 489 847 25 1317 323 483 1395 403 123 1390
## [1665] 1087 189 236 1619 398 1561 293 1387 689 900 1716 1068 1566
## [1678] 1412 816 1651 94 359 650 851 361 1423 1643 1126 117 1233
## [1691] 600 1122 750 40 999 712 611 1587 938 1626 884 512 182
## [1704] 256 1452 1679 75 1091 1303 1549 1197 1097 563 1531 540 546
## [1717] 1046 990 1143 1120 1266 1017 1527 1643 1578 594 1208 1105
##
## $btree
## n= 1728
##
## node), split, n, loss, yval, (yprob)
## * denotes terminal node
##
## 1) root 1728 521 unacc (0.22337963 0.04340278 0.69849537 0.03472222)
## 2) safety=high,med 1157 521 unacc (0.33362143 0.06482282 0.54969749 0.05185825)
## 4) persons=4,more 786 400 acc (0.49109415 0.09541985 0.33715013 0.07633588)
## 8) maint=low,med 393 179 acc (0.54452926 0.19083969 0.12722646 0.13740458)
## 16) buying=high,vhigh 194 45 acc (0.76804124 0.00000000 0.23195876 0.00000000)
## 32) lug_boot=big,med 129 9 acc (0.93023256 0.00000000 0.06976744 0.00000000)
## 64) lug_boot=big 71 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 65) lug_boot=med 58 9 acc (0.84482759 0.00000000 0.15517241 0.00000000)
## 130) doors=4,5more 31 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 131) doors=2,3 27 9 acc (0.66666667 0.00000000 0.33333333 0.00000000)
## 262) safety=high 17 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 263) safety=med 10 1 unacc (0.10000000 0.00000000 0.90000000 0.00000000)
## 526) persons=more 2 1 acc (0.50000000 0.00000000 0.50000000 0.00000000)
## 1052) buying=high 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1053) buying=vhigh 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 527) persons=4 8 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 33) lug_boot=small 65 29 unacc (0.44615385 0.00000000 0.55384615 0.00000000)
## 66) safety=high 32 3 acc (0.90625000 0.00000000 0.09375000 0.00000000)
## 132) doors=3,4,5more 24 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 133) doors=2 8 3 acc (0.62500000 0.00000000 0.37500000 0.00000000)
## 266) persons=4 5 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 267) persons=more 3 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 67) safety=med 33 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 17) buying=low,med 199 124 good (0.32663317 0.37688442 0.02512563 0.27135678)
## 34) safety=med 101 44 acc (0.56435644 0.42574257 0.00990099 0.00000000)
## 68) lug_boot=small 24 1 acc (0.95833333 0.00000000 0.04166667 0.00000000)
## 136) doors=3,4,5more 20 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 137) doors=2 4 1 acc (0.75000000 0.00000000 0.25000000 0.00000000)
## 274) persons=4 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 275) persons=more 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 69) lug_boot=big,med 77 34 good (0.44155844 0.55844156 0.00000000 0.00000000)
## 138) doors=2,3 42 12 acc (0.71428571 0.28571429 0.00000000 0.00000000)
## 276) lug_boot=med 20 1 acc (0.95000000 0.05000000 0.00000000 0.00000000)
## 552) persons=4 10 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 553) persons=more 10 1 acc (0.90000000 0.10000000 0.00000000 0.00000000)
## 1106) doors=2 8 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1107) doors=3 2 1 acc (0.50000000 0.50000000 0.00000000 0.00000000)
## 2214) buying=med 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2215) buying=low 1 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 277) lug_boot=big 22 11 acc (0.50000000 0.50000000 0.00000000 0.00000000)
## 554) maint=med 13 2 acc (0.84615385 0.15384615 0.00000000 0.00000000)
## 1108) buying=med 11 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1109) buying=low 2 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 555) maint=low 9 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 139) doors=4,5more 35 4 good (0.11428571 0.88571429 0.00000000 0.00000000)
## 278) buying=med 13 4 good (0.30769231 0.69230769 0.00000000 0.00000000)
## 556) maint=med 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 557) maint=low 9 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 279) buying=low 22 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 35) safety=high 98 44 vgood (0.08163265 0.32653061 0.04081633 0.55102041)
## 70) lug_boot=small 33 9 good (0.15151515 0.72727273 0.12121212 0.00000000)
## 140) maint=med 17 8 good (0.29411765 0.52941176 0.17647059 0.00000000)
## 280) buying=med 6 1 acc (0.83333333 0.00000000 0.16666667 0.00000000)
## 560) doors=3,4,5more 5 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 561) doors=2 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 281) buying=low 11 2 good (0.00000000 0.81818182 0.18181818 0.00000000)
## 562) doors=3,4 6 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 563) doors=2 5 2 good (0.00000000 0.60000000 0.40000000 0.00000000)
## 1126) persons=4 3 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 1127) persons=more 2 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 141) maint=low 16 1 good (0.00000000 0.93750000 0.06250000 0.00000000)
## 282) doors=3,4,5more 13 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 283) doors=2 3 1 good (0.00000000 0.66666667 0.33333333 0.00000000)
## 566) persons=4 2 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 567) persons=more 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 71) lug_boot=big,med 65 11 vgood (0.04615385 0.12307692 0.00000000 0.83076923)
## 142) lug_boot=med 27 11 vgood (0.11111111 0.29629630 0.00000000 0.59259259)
## 284) doors=2,3 13 5 good (0.23076923 0.61538462 0.00000000 0.15384615)
## 568) persons=4 10 2 good (0.20000000 0.80000000 0.00000000 0.00000000)
## 1136) buying=med 4 2 acc (0.50000000 0.50000000 0.00000000 0.00000000)
## 2272) maint=med 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2273) maint=low 2 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 1137) buying=low 6 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 569) persons=more 3 1 vgood (0.33333333 0.00000000 0.00000000 0.66666667)
## 1138) doors=2 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1139) doors=3 2 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 285) doors=4,5more 14 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 143) lug_boot=big 38 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 9) maint=high,vhigh 393 178 unacc (0.43765903 0.00000000 0.54707379 0.01526718)
## 18) buying=high,low,med 281 109 acc (0.61209964 0.00000000 0.36654804 0.02135231)
## 36) lug_boot=big,med 180 46 acc (0.74444444 0.00000000 0.22222222 0.03333333)
## 72) buying=low,med 115 17 acc (0.85217391 0.00000000 0.09565217 0.05217391)
## 144) lug_boot=big 61 3 acc (0.95081967 0.00000000 0.00000000 0.04918033)
## 288) buying=med 39 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 289) buying=low 22 3 acc (0.86363636 0.00000000 0.00000000 0.13636364)
## 578) safety=med 15 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 579) safety=high 7 3 acc (0.57142857 0.00000000 0.00000000 0.42857143)
## 1158) maint=vhigh 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1159) maint=high 3 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 145) lug_boot=med 54 14 acc (0.74074074 0.00000000 0.20370370 0.05555556)
## 290) doors=4,5more 23 1 acc (0.95652174 0.00000000 0.00000000 0.04347826)
## 580) buying=med 17 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 581) buying=low 6 1 acc (0.83333333 0.00000000 0.00000000 0.16666667)
## 1162) maint=vhigh 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1163) maint=high 2 1 acc (0.50000000 0.00000000 0.00000000 0.50000000)
## 2326) safety=med 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2327) safety=high 1 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 291) doors=2,3 31 13 acc (0.58064516 0.00000000 0.35483871 0.06451613)
## 582) safety=high 12 2 acc (0.83333333 0.00000000 0.00000000 0.16666667)
## 1164) maint=vhigh 7 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1165) maint=high 5 2 acc (0.60000000 0.00000000 0.00000000 0.40000000)
## 2330) buying=med 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2331) buying=low 3 1 vgood (0.33333333 0.00000000 0.00000000 0.66666667)
## 4662) persons=4 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 4663) persons=more 2 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 583) safety=med 19 8 unacc (0.42105263 0.00000000 0.57894737 0.00000000)
## 1166) persons=more 6 1 acc (0.83333333 0.00000000 0.16666667 0.00000000)
## 2332) doors=3 5 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2333) doors=2 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 1167) persons=4 13 3 unacc (0.23076923 0.00000000 0.76923077 0.00000000)
## 2334) buying=low 5 2 acc (0.60000000 0.00000000 0.40000000 0.00000000)
## 4668) maint=high 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 4669) maint=vhigh 2 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 2335) buying=med 8 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 73) buying=high 65 29 acc (0.55384615 0.00000000 0.44615385 0.00000000)
## 146) maint=high 39 3 acc (0.92307692 0.00000000 0.07692308 0.00000000)
## 292) doors=3,4,5more 32 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 293) doors=2 7 3 acc (0.57142857 0.00000000 0.42857143 0.00000000)
## 586) persons=4 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 587) persons=more 4 1 unacc (0.25000000 0.00000000 0.75000000 0.00000000)
## 1174) safety=high 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1175) safety=med 3 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 147) maint=vhigh 26 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 37) lug_boot=small 101 38 unacc (0.37623762 0.00000000 0.62376238 0.00000000)
## 74) safety=high 47 16 acc (0.65957447 0.00000000 0.34042553 0.00000000)
## 148) buying=low,med 29 3 acc (0.89655172 0.00000000 0.10344828 0.00000000)
## 296) doors=3,4,5more 22 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 297) doors=2 7 3 acc (0.57142857 0.00000000 0.42857143 0.00000000)
## 594) buying=med 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 595) buying=low 3 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 149) buying=high 18 5 unacc (0.27777778 0.00000000 0.72222222 0.00000000)
## 298) maint=high 7 2 acc (0.71428571 0.00000000 0.28571429 0.00000000)
## 596) doors=3,5more 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 597) doors=2 3 1 unacc (0.33333333 0.00000000 0.66666667 0.00000000)
## 1194) persons=4 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1195) persons=more 2 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 299) maint=vhigh 11 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 75) safety=med 54 7 unacc (0.12962963 0.00000000 0.87037037 0.00000000)
## 150) buying=low 22 7 unacc (0.31818182 0.00000000 0.68181818 0.00000000)
## 300) maint=high 9 2 acc (0.77777778 0.00000000 0.22222222 0.00000000)
## 600) doors=3,4,5more 7 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 601) doors=2 2 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 301) maint=vhigh 13 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 151) buying=high,med 32 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 19) buying=vhigh 112 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 5) persons=2 371 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 3) safety=low 571 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##
## attr(,"class")
## class
## "sclass"
##
## $mtrees[[12]]
## $bindx
## [1] 1226 228 1317 640 259 1156 1064 454 298 1606 715 1261 236
## [14] 1539 289 360 926 1113 944 569 1088 322 1155 322 982 1055
## [27] 1168 1387 1672 1369 1370 1499 1100 437 1013 1229 913 60 357
## [40] 1016 446 780 171 1122 1187 78 1390 204 1727 3 1561 478
## [53] 376 1025 1292 452 1677 1590 682 794 670 175 19 1254 1261
## [66] 1497 1287 1431 548 444 795 1586 1182 617 491 543 638 577
## [79] 1724 870 775 1126 1654 1136 1460 1696 1055 643 784 1109 1061
## [92] 1633 906 1355 999 1113 956 573 1720 744 588 1247 770 1569
## [105] 531 1284 465 688 1002 1656 1465 1575 172 1521 1013 329 602
## [118] 708 1580 1315 1174 1521 516 1221 1571 400 1141 1562 1657 921
## [131] 551 1690 1589 781 702 615 1000 935 871 1187 1261 4 961
## [144] 1134 425 295 1029 831 1606 1418 681 899 6 662 1075 1545
## [157] 210 1113 820 1712 981 105 1298 1059 41 1287 124 108 459
## [170] 486 398 542 513 261 1707 457 346 854 248 619 286 992
## [183] 587 1219 63 1476 1570 1408 1654 20 1107 91 1478 473 1111
## [196] 111 1222 936 411 736 1326 612 1643 1484 993 661 814 1611
## [209] 424 1095 343 16 1057 1382 253 1551 1153 838 1058 387 1006
## [222] 823 349 1068 329 1198 285 500 1615 1125 791 107 111 1618
## [235] 432 314 1539 1143 965 1578 680 585 1035 1426 1189 198 481
## [248] 583 343 688 1381 1436 923 1531 213 1378 1544 367 704 235
## [261] 1175 320 963 974 916 399 1224 281 508 1343 1644 268 1555
## [274] 266 1588 1535 1382 318 969 941 1608 1590 1049 1502 332 87
## [287] 638 600 924 221 810 1571 338 1010 1690 337 1506 1076 1225
## [300] 417 989 1434 611 1508 1205 1651 314 1153 301 67 1315 336
## [313] 877 418 674 641 1335 984 1723 409 355 1656 814 508 1379
## [326] 1610 449 559 1159 637 1453 1551 781 1459 657 571 672 1128
## [339] 1482 312 411 258 1620 447 1240 1202 65 51 1632 1333 195
## [352] 570 1607 1101 1635 943 468 1600 443 422 785 536 191 951
## [365] 612 860 265 1352 1163 512 1234 1392 1378 1703 871 891 1403
## [378] 422 37 1636 1585 1050 946 1464 1384 596 1726 683 244 1134
## [391] 1051 1346 525 1080 947 1071 1058 219 1336 1719 498 723 1037
## [404] 980 649 1314 1377 1564 710 1590 1688 9 1551 572 802 545
## [417] 777 566 48 149 1476 942 1716 933 1707 1484 712 1044 704
## [430] 1126 28 1289 883 1276 226 1054 645 1257 871 1405 933 427
## [443] 1383 760 322 1229 1346 1107 1205 773 416 1464 646 1218 369
## [456] 304 126 687 1601 648 1419 674 1437 155 1616 898 1069 1238
## [469] 1006 1066 1332 55 1673 309 623 399 398 168 590 424 851
## [482] 461 976 786 371 306 597 1154 430 64 888 1066 1255 808
## [495] 996 914 1210 350 515 1209 987 824 1073 1640 1644 1043 7
## [508] 949 1374 1114 703 239 1064 861 1497 1254 508 1681 1700 991
## [521] 887 858 1129 1433 1525 1547 850 1608 1633 1416 412 1626 1147
## [534] 1157 274 1135 825 639 533 82 182 915 1431 105 1082 432
## [547] 717 306 1293 1234 1171 74 823 1443 1335 114 428 1029 685
## [560] 765 821 712 654 1126 462 634 785 1107 1665 322 459 1140
## [573] 98 532 462 216 132 116 330 821 832 1491 127 892 372
## [586] 784 778 641 1669 547 766 648 992 1443 260 984 585 1348
## [599] 317 702 1700 9 1141 1722 1536 1464 149 1637 1041 339 1485
## [612] 1044 374 893 1489 419 1285 739 800 684 1092 379 82 1686
## [625] 879 1412 29 864 817 342 1440 1183 1199 802 178 143 614
## [638] 1635 91 544 1644 1163 781 487 1455 1006 1325 1585 1265 837
## [651] 501 226 824 952 254 1012 754 650 9 134 916 652 69
## [664] 1117 107 383 1652 52 1614 1090 1402 1231 364 1422 528 1478
## [677] 583 311 1574 199 1225 1002 488 894 1480 1712 42 1553 1545
## [690] 1234 805 1165 414 549 1681 1254 286 895 1710 135 1388 382
## [703] 1632 1269 418 728 617 1560 400 1492 696 113 322 859 1398
## [716] 319 913 1051 1708 1400 736 1387 1231 183 387 879 586 228
## [729] 196 697 112 976 992 94 756 714 1297 883 1349 1669 579
## [742] 1626 429 439 126 1262 1691 1693 200 1477 103 350 12 460
## [755] 1335 227 1467 1434 484 366 1307 1210 1115 1316 1471 171 1512
## [768] 1332 859 1467 1117 389 1190 197 1383 540 827 1521 1521 139
## [781] 812 594 1041 693 1161 1151 241 1575 792 476 412 989 1425
## [794] 948 1476 847 1360 1030 965 765 669 321 1468 422 827 98
## [807] 1136 374 1352 897 828 182 1609 640 670 843 514 58 1081
## [820] 55 239 1683 1697 1253 1148 865 821 656 461 328 610 1398
## [833] 602 1643 155 951 809 1219 877 1479 1324 890 1317 133 34
## [846] 223 1548 1281 402 764 210 393 819 1035 750 675 590 1191
## [859] 101 925 27 274 765 152 393 284 1007 1642 397 1660 122
## [872] 712 1205 903 583 418 436 1043 866 985 664 1039 993 839
## [885] 1477 381 729 807 564 118 1199 243 1518 592 748 127 4
## [898] 384 1307 1180 1422 810 1280 50 1135 1589 479 1116 933 386
## [911] 824 437 752 1641 70 407 699 1624 649 449 1452 874 580
## [924] 245 676 811 547 339 920 645 1483 344 1356 1653 619 1626
## [937] 1722 710 38 1478 1087 905 986 1395 528 563 548 1589 846
## [950] 301 1008 1281 1237 756 433 364 1531 1572 886 1142 1508 1306
## [963] 95 572 1692 13 1366 151 1617 344 948 894 190 795 896
## [976] 859 299 1003 301 1716 285 111 1129 1026 1629 1524 1465 227
## [989] 919 1066 1103 41 1492 722 1362 1109 418 1365 1101 193 1269
## [1002] 1579 187 1660 829 678 765 357 1474 1074 1707 451 592 1242
## [1015] 695 1119 1669 1255 1296 223 1403 17 1197 51 1576 163 368
## [1028] 191 535 1382 1469 711 1674 878 17 568 1246 293 788 711
## [1041] 362 841 34 1602 1356 43 602 561 1606 920 98 679 741
## [1054] 1380 1072 1140 1712 1716 1195 88 83 77 733 8 1376 348
## [1067] 235 23 361 699 1672 45 260 1645 1041 343 1515 1059 341
## [1080] 1394 376 370 1181 343 1435 548 993 223 362 1458 1279 1238
## [1093] 70 157 1033 1443 1074 237 1369 607 11 136 1046 1670 462
## [1106] 1471 92 723 433 696 204 329 924 600 359 460 174 654
## [1119] 1686 443 1549 485 117 1584 1031 485 1365 1287 525 585 879
## [1132] 181 1399 617 1642 993 642 455 1427 387 233 1015 1338 1387
## [1145] 1137 1539 1728 1545 90 902 1702 435 1577 1068 1100 143 1626
## [1158] 33 1199 1268 296 228 622 1024 459 907 1401 139 1424 901
## [1171] 1009 383 896 447 143 527 16 739 582 483 713 300 604
## [1184] 1202 938 1663 453 521 1581 620 1679 1201 811 737 1539 1387
## [1197] 1600 1654 849 1294 1365 912 227 19 1091 806 932 528 312
## [1210] 88 360 1070 723 302 835 1172 1718 1011 1250 1187 1590 1403
## [1223] 779 1261 328 243 854 970 1212 1480 1267 952 1052 1186 1157
## [1236] 1022 520 451 551 1007 1661 1391 232 1109 405 1396 77 1363
## [1249] 161 1081 951 352 127 884 973 1038 1288 1015 1296 688 779
## [1262] 391 1723 206 267 821 373 1714 260 915 689 406 625 894
## [1275] 343 1390 1392 1035 1641 322 159 945 186 426 722 603 470
## [1288] 55 162 713 314 1711 504 1228 1229 1016 324 986 760 1285
## [1301] 538 1147 1332 1686 1231 1642 119 59 1299 969 1612 1454 208
## [1314] 760 830 800 1049 326 1656 908 1172 1201 1508 909 1011 375
## [1327] 1368 1420 598 560 565 519 499 527 926 803 1551 602 467
## [1340] 656 801 240 1703 234 935 432 263 1523 1714 1406 16 719
## [1353] 718 513 842 786 453 10 930 1131 869 680 553 386 813
## [1366] 166 828 841 1342 832 1390 159 147 1474 1499 303 1558 341
## [1379] 64 275 1342 493 336 935 232 815 1312 946 179 1147 253
## [1392] 188 489 1334 1605 317 1653 832 1048 1608 919 831 1316 94
## [1405] 1707 728 1118 1651 738 1449 261 1488 160 82 704 1372 214
## [1418] 658 1204 831 168 766 1464 929 206 956 1663 113 1441 1706
## [1431] 659 917 1051 547 1241 254 424 1124 877 939 1036 427 1251
## [1444] 1118 962 945 835 902 738 537 566 960 1630 1033 918 1118
## [1457] 1423 999 1222 97 33 745 1440 1418 1441 722 1012 221 1318
## [1470] 977 1498 427 1412 914 385 729 474 945 1191 1141 34 1699
## [1483] 343 900 444 428 1104 918 40 1316 63 1218 324 604 1282
## [1496] 424 1698 65 575 310 1332 1053 607 350 1005 677 1031 909
## [1509] 777 1062 772 1484 1623 734 1310 1718 1340 397 2 1166 1412
## [1522] 1327 1701 990 1350 1638 564 1107 922 451 1463 84 1004 360
## [1535] 834 910 311 1496 1459 1715 1684 322 477 320 660 525 1443
## [1548] 140 1426 1004 1074 93 1561 586 1000 613 1325 679 1004 1063
## [1561] 1 324 818 1115 1320 136 1037 1229 481 1425 1470 1511 1178
## [1574] 1636 1450 872 1020 1462 1687 399 494 1268 1037 1652 26 1515
## [1587] 1443 162 772 830 1259 1453 594 224 79 1534 1069 93 239
## [1600] 1385 652 661 167 305 481 185 1015 1195 1168 1108 831 357
## [1613] 1681 561 1270 1057 1679 930 1457 1537 280 1568 88 266 946
## [1626] 821 1514 1526 1153 507 1466 36 1485 628 332 1084 1534 490
## [1639] 1708 673 903 1677 521 1007 1469 1121 1630 591 444 1050 966
## [1652] 1468 114 1030 792 492 1103 564 1660 1454 1714 928 675 999
## [1665] 539 724 1625 42 294 1257 267 807 1370 1475 202 690 1263
## [1678] 353 917 1036 98 186 1379 456 1433 848 859 1650 803 821
## [1691] 570 206 335 675 829 1667 765 1715 51 888 851 171 179
## [1704] 1479 1253 232 1003 1188 1071 540 227 1388 214 376 1198 1262
## [1717] 144 1520 204 864 47 774 890 204 380 591 1179 527
##
## $btree
## n= 1728
##
## node), split, n, loss, yval, (yprob)
## * denotes terminal node
##
## 1) root 1728 519 unacc (0.22743056 0.03587963 0.69965278 0.03703704)
## 2) safety=high,med 1139 519 unacc (0.34503951 0.05443371 0.54433714 0.05618964)
## 4) persons=4,more 772 379 acc (0.50906736 0.08031088 0.32772021 0.08290155)
## 8) buying=low,med 396 182 acc (0.54040404 0.15656566 0.14141414 0.16161616)
## 16) maint=high,vhigh 218 62 acc (0.71559633 0.00000000 0.22018349 0.06422018)
## 32) lug_boot=big,med 137 22 acc (0.83941606 0.00000000 0.05839416 0.10218978)
## 64) buying=med 79 7 acc (0.91139241 0.00000000 0.08860759 0.00000000)
## 128) safety=high 45 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 129) safety=med 34 7 acc (0.79411765 0.00000000 0.20588235 0.00000000)
## 258) lug_boot=big 19 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 259) lug_boot=med 15 7 acc (0.53333333 0.00000000 0.46666667 0.00000000)
## 518) persons=more 8 1 acc (0.87500000 0.00000000 0.12500000 0.00000000)
## 1036) doors=3,4,5more 7 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1037) doors=2 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 519) persons=4 7 1 unacc (0.14285714 0.00000000 0.85714286 0.00000000)
## 1038) doors=4 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1039) doors=2,3 6 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 65) buying=low 58 15 acc (0.74137931 0.00000000 0.01724138 0.24137931)
## 130) safety=med 29 1 acc (0.96551724 0.00000000 0.03448276 0.00000000)
## 260) doors=3,4,5more 25 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 261) doors=2 4 1 acc (0.75000000 0.00000000 0.25000000 0.00000000)
## 522) maint=high 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 523) maint=vhigh 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 131) safety=high 29 14 acc (0.51724138 0.00000000 0.00000000 0.48275862)
## 262) maint=vhigh 14 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 263) maint=high 15 1 vgood (0.06666667 0.00000000 0.00000000 0.93333333)
## 526) lug_boot=med 3 1 vgood (0.33333333 0.00000000 0.00000000 0.66666667)
## 1052) doors=2 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1053) doors=3,4 2 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 527) lug_boot=big 12 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 33) lug_boot=small 81 40 acc (0.50617284 0.00000000 0.49382716 0.00000000)
## 66) safety=high 43 8 acc (0.81395349 0.00000000 0.18604651 0.00000000)
## 132) doors=3,4,5more 32 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 133) doors=2 11 3 unacc (0.27272727 0.00000000 0.72727273 0.00000000)
## 266) persons=4 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 267) persons=more 8 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 67) safety=med 38 6 unacc (0.15789474 0.00000000 0.84210526 0.00000000)
## 134) buying=low 18 6 unacc (0.33333333 0.00000000 0.66666667 0.00000000)
## 268) maint=high 7 1 acc (0.85714286 0.00000000 0.14285714 0.00000000)
## 536) doors=4,5more 6 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 537) doors=2 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 269) maint=vhigh 11 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 135) buying=med 20 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 17) maint=low,med 178 116 good (0.32584270 0.34831461 0.04494382 0.28089888)
## 34) safety=med 86 36 acc (0.58139535 0.38372093 0.03488372 0.00000000)
## 68) lug_boot=small 28 3 acc (0.89285714 0.00000000 0.10714286 0.00000000)
## 136) doors=3,4,5more 20 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 137) doors=2 8 3 acc (0.62500000 0.00000000 0.37500000 0.00000000)
## 274) persons=4 5 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 275) persons=more 3 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 69) lug_boot=big,med 58 25 good (0.43103448 0.56896552 0.00000000 0.00000000)
## 138) buying=med 30 11 acc (0.63333333 0.36666667 0.00000000 0.00000000)
## 276) maint=med 13 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 277) maint=low 17 6 good (0.35294118 0.64705882 0.00000000 0.00000000)
## 554) lug_boot=med 10 4 acc (0.60000000 0.40000000 0.00000000 0.00000000)
## 1108) persons=4 6 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1109) persons=more 4 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 555) lug_boot=big 7 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 139) buying=low 28 6 good (0.21428571 0.78571429 0.00000000 0.00000000)
## 278) doors=2,3 10 4 acc (0.60000000 0.40000000 0.00000000 0.00000000)
## 556) lug_boot=med 8 2 acc (0.75000000 0.25000000 0.00000000 0.00000000)
## 1112) doors=2 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1113) doors=3 4 2 acc (0.50000000 0.50000000 0.00000000 0.00000000)
## 2226) persons=4 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2227) persons=more 2 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 557) lug_boot=big 2 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 279) doors=4,5more 18 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 35) safety=high 92 42 vgood (0.08695652 0.31521739 0.05434783 0.54347826)
## 70) lug_boot=small 32 10 good (0.15625000 0.68750000 0.15625000 0.00000000)
## 140) doors=3,4,5more 23 4 good (0.17391304 0.82608696 0.00000000 0.00000000)
## 280) buying=med 10 4 good (0.40000000 0.60000000 0.00000000 0.00000000)
## 560) maint=med 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 561) maint=low 6 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 281) buying=low 13 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 141) doors=2 9 4 unacc (0.11111111 0.33333333 0.55555556 0.00000000)
## 282) persons=4 4 1 good (0.25000000 0.75000000 0.00000000 0.00000000)
## 564) buying=med 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 565) buying=low 3 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 283) persons=more 5 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 71) lug_boot=big,med 60 10 vgood (0.05000000 0.11666667 0.00000000 0.83333333)
## 142) doors=2 18 9 vgood (0.11111111 0.38888889 0.00000000 0.50000000)
## 284) lug_boot=med 9 2 good (0.22222222 0.77777778 0.00000000 0.00000000)
## 568) buying=med 3 1 acc (0.66666667 0.33333333 0.00000000 0.00000000)
## 1136) maint=med 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1137) maint=low 1 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 569) buying=low 6 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 285) lug_boot=big 9 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 143) doors=3,4,5more 42 1 vgood (0.02380952 0.00000000 0.00000000 0.97619048)
## 286) doors=3 8 1 vgood (0.12500000 0.00000000 0.00000000 0.87500000)
## 572) lug_boot=med 2 1 acc (0.50000000 0.00000000 0.00000000 0.50000000)
## 1144) persons=4 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1145) persons=more 1 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 573) lug_boot=big 6 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 287) doors=4,5more 34 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 9) buying=high,vhigh 376 179 unacc (0.47606383 0.00000000 0.52393617 0.00000000)
## 18) maint=high,low,med 283 104 acc (0.63250883 0.00000000 0.36749117 0.00000000)
## 36) lug_boot=big,med 183 39 acc (0.78688525 0.00000000 0.21311475 0.00000000)
## 72) maint=low,med 124 9 acc (0.92741935 0.00000000 0.07258065 0.00000000)
## 144) doors=3,4,5more 93 1 acc (0.98924731 0.00000000 0.01075269 0.00000000)
## 288) doors=4,5more 61 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 289) doors=3 32 1 acc (0.96875000 0.00000000 0.03125000 0.00000000)
## 578) safety=high 19 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 579) safety=med 13 1 acc (0.92307692 0.00000000 0.07692308 0.00000000)
## 1158) buying=vhigh 8 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1159) buying=high 5 1 acc (0.80000000 0.00000000 0.20000000 0.00000000)
## 2318) maint=low 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2319) maint=med 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 145) doors=2 31 8 acc (0.74193548 0.00000000 0.25806452 0.00000000)
## 290) lug_boot=big 17 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 291) lug_boot=med 14 6 unacc (0.42857143 0.00000000 0.57142857 0.00000000)
## 582) safety=high 6 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 583) safety=med 8 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 73) maint=high 59 29 unacc (0.49152542 0.00000000 0.50847458 0.00000000)
## 146) buying=high 30 1 acc (0.96666667 0.00000000 0.03333333 0.00000000)
## 292) doors=3,4,5more 24 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 293) doors=2 6 1 acc (0.83333333 0.00000000 0.16666667 0.00000000)
## 586) safety=high 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 587) safety=med 3 1 acc (0.66666667 0.00000000 0.33333333 0.00000000)
## 1174) lug_boot=big 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1175) lug_boot=med 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 147) buying=vhigh 29 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 37) lug_boot=small 100 35 unacc (0.35000000 0.00000000 0.65000000 0.00000000)
## 74) safety=high 46 11 acc (0.76086957 0.00000000 0.23913043 0.00000000)
## 148) maint=low,med 35 4 acc (0.88571429 0.00000000 0.11428571 0.00000000)
## 296) doors=3,4,5more 25 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 297) doors=2 10 4 acc (0.60000000 0.00000000 0.40000000 0.00000000)
## 594) persons=4 6 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 595) persons=more 4 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 149) maint=high 11 4 unacc (0.36363636 0.00000000 0.63636364 0.00000000)
## 298) buying=high 6 2 acc (0.66666667 0.00000000 0.33333333 0.00000000)
## 596) doors=3,4,5more 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 597) doors=2 2 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 299) buying=vhigh 5 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 75) safety=med 54 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 19) maint=vhigh 93 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 5) persons=2 367 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 3) safety=low 589 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##
## attr(,"class")
## class
## "sclass"
##
## $mtrees[[13]]
## $bindx
## [1] 1311 239 539 1214 761 1192 171 1352 1686 632 1384 1353 695
## [14] 742 13 1551 929 350 778 999 1520 705 296 504 21 568
## [27] 1675 327 1629 94 1609 1180 739 1473 1455 1144 429 73 696
## [40] 644 719 56 462 1721 1465 1160 1366 489 827 1276 1463 686
## [53] 35 1724 1193 1046 1100 1492 211 888 569 1487 178 442 890
## [66] 846 917 30 477 637 655 427 938 1709 814 470 159 871
## [79] 1383 1097 500 33 365 143 1437 179 994 192 914 341 149
## [92] 266 262 593 1429 270 1176 59 1303 1475 54 1224 254 450
## [105] 969 732 42 654 1246 1493 1026 1043 90 1555 1292 656 1086
## [118] 389 333 1118 244 2 320 1222 743 862 1017 522 580 916
## [131] 684 1237 68 1404 1543 380 110 889 1630 347 65 1304 332
## [144] 236 10 667 1061 1317 243 109 1548 246 1011 1361 254 1403
## [157] 532 410 700 207 1008 821 1255 361 387 71 750 1683 1274
## [170] 3 632 1300 577 740 427 928 367 126 1395 324 1636 452
## [183] 32 1181 1571 767 146 313 712 286 897 918 948 30 73
## [196] 605 392 1563 1100 938 1169 571 35 553 609 346 682 1374
## [209] 834 1287 480 450 1062 317 1701 66 568 1700 920 1524 975
## [222] 218 618 978 1492 919 1177 148 828 1119 808 813 843 690
## [235] 1697 173 481 239 666 664 882 114 406 459 874 808 172
## [248] 583 379 150 902 1434 189 1282 526 1420 526 1029 603 778
## [261] 901 301 1394 537 1174 1218 466 1009 1452 454 9 1394 1561
## [274] 1424 806 1700 170 26 432 982 562 241 1175 771 1340 618
## [287] 378 1698 1326 697 1652 252 233 1111 126 1255 966 1725 1506
## [300] 581 863 1585 285 1710 1505 1289 804 390 524 1451 1359 258
## [313] 765 230 1595 1520 1232 565 152 644 490 1083 1124 199 314
## [326] 416 430 1005 1612 853 1072 431 121 1595 1615 1701 1349 379
## [339] 1432 369 1451 75 1042 904 1312 562 631 1451 1383 66 1516
## [352] 631 1200 1661 994 1208 1544 1565 852 1238 1286 473 931 1727
## [365] 1180 1501 364 1183 1556 325 800 138 702 1085 715 1139 212
## [378] 47 1444 1648 638 52 1041 1311 1410 67 184 765 1608 1237
## [391] 400 981 30 364 1224 1576 1123 1259 426 1159 620 1490 511
## [404] 1013 863 139 926 795 749 358 1710 645 364 949 1515 1608
## [417] 1208 1283 163 410 1118 1002 272 1034 335 1188 948 951 868
## [430] 1346 976 802 1028 1108 1489 1024 1628 828 688 564 1490 755
## [443] 46 763 214 284 184 858 876 1728 989 705 1453 250 1207
## [456] 437 441 718 439 53 879 840 139 648 282 1614 91 1554
## [469] 722 25 687 346 1116 316 756 689 477 1602 1397 103 518
## [482] 237 1389 1720 982 1354 625 384 627 772 371 23 1689 462
## [495] 916 10 908 511 286 1211 892 1479 874 927 288 604 151
## [508] 1385 513 456 261 1692 274 504 438 535 987 285 40 704
## [521] 1 1160 15 646 1282 647 525 1049 985 177 868 791 1613
## [534] 1321 201 1083 909 1236 107 24 746 1117 290 948 313 219
## [547] 892 1544 913 1280 1561 765 237 1151 658 1064 649 1132 941
## [560] 1314 1656 201 1516 319 1601 1582 1180 880 988 1147 472 336
## [573] 1202 257 1580 969 1136 257 1391 945 1728 1622 1586 598 1287
## [586] 431 626 549 26 467 856 1105 280 880 362 125 1021 1550
## [599] 1183 1593 108 1466 1622 1383 306 847 1271 245 456 1590 1215
## [612] 1701 312 1505 200 73 53 1046 783 608 962 906 436 488
## [625] 831 1225 404 1222 88 584 357 439 911 1330 617 568 754
## [638] 862 967 1671 497 1444 1608 410 383 1695 91 99 144 152
## [651] 1653 1137 1445 921 1577 669 422 863 1684 1242 666 1651 373
## [664] 244 1184 583 1071 1576 601 236 569 889 492 841 297 281
## [677] 1394 437 209 1080 887 1400 1013 1465 529 878 285 875 146
## [690] 1681 422 133 405 1243 1603 429 1698 1380 1658 782 695 459
## [703] 524 331 354 1137 1278 795 1594 1587 1548 1048 1489 1713 1587
## [716] 1107 1504 1142 590 728 284 262 973 19 416 841 285 837
## [729] 602 307 88 1330 1394 24 1370 831 402 787 136 1278 1228
## [742] 195 805 723 96 1369 1407 617 1452 116 952 269 1463 1171
## [755] 1339 814 1454 539 310 381 143 1467 51 1586 971 1050 840
## [768] 1517 228 915 680 1431 929 1366 1013 982 1063 411 1116 544
## [781] 1028 1210 1418 1302 1583 179 685 166 1334 362 953 925 569
## [794] 1610 1273 1307 1280 211 393 1215 646 573 1116 487 412 407
## [807] 1127 1103 228 1283 1018 994 619 1013 1721 1223 378 1062 1656
## [820] 1396 1423 47 1414 849 1465 1073 576 653 1082 638 799 1213
## [833] 901 494 428 857 1305 1307 1319 1489 1219 1240 1111 1001 123
## [846] 1458 458 1128 1160 1002 1068 1150 1162 1433 1321 1387 1212 655
## [859] 1492 1026 45 1484 57 554 1075 952 471 447 1356 1188 782
## [872] 176 7 1102 853 1054 249 358 1181 1135 138 1125 284 631
## [885] 1073 184 982 1617 261 249 263 312 763 574 751 1454 1319
## [898] 1121 866 1304 1228 1523 312 1032 1468 1693 1701 1720 384 404
## [911] 82 390 590 791 1650 783 1574 1703 267 60 1054 1138 1348
## [924] 784 1004 328 1721 256 674 155 1453 766 436 420 315 1594
## [937] 958 1272 457 1353 1551 1409 1266 518 856 424 1490 958 1606
## [950] 302 1499 528 627 487 1115 432 645 912 1639 1632 1149 1518
## [963] 459 1472 610 1220 367 52 681 596 1083 251 1291 941 977
## [976] 873 624 476 1064 352 777 1511 1513 1162 1126 367 118 1050
## [989] 1616 49 482 1267 569 98 928 228 724 321 951 740 750
## [1002] 1371 1507 652 1422 1307 1693 313 1265 534 1018 1697 1303 437
## [1015] 506 673 2 766 813 941 644 338 124 309 35 579 1055
## [1028] 1165 145 1516 1204 729 1502 1507 1023 520 1266 1164 488 18
## [1041] 1339 902 1577 766 511 1243 1199 144 1638 140 273 324 1438
## [1054] 61 1665 930 710 386 1546 1534 104 175 146 408 820 1124
## [1067] 661 556 893 600 158 9 923 1455 145 1599 751 260 1129
## [1080] 1240 350 901 56 307 1571 1603 1240 1593 206 789 1643 1339
## [1093] 1060 155 248 518 889 838 42 812 4 410 982 903 1725
## [1106] 934 434 1442 1435 207 1495 815 1629 1518 1456 1671 1681 1122
## [1119] 1601 233 501 1349 889 1165 426 825 343 704 1280 1633 301
## [1132] 1106 649 787 1452 79 861 1088 1069 1484 1229 1614 126 74
## [1145] 1290 1046 274 569 1603 1295 1102 956 415 1585 1397 179 1384
## [1158] 771 31 794 1493 1316 906 8 261 6 1093 96 161 1448
## [1171] 389 1247 680 901 84 712 573 1679 706 1566 785 419 464
## [1184] 471 15 227 1022 1524 432 498 884 432 681 1209 1180 446
## [1197] 643 1201 1053 1144 48 137 1133 978 1421 565 1705 1233 635
## [1210] 688 282 711 551 1253 923 1401 104 526 594 1275 1002 1692
## [1223] 1115 1706 1623 1667 1209 547 518 1286 1482 125 478 1447 1634
## [1236] 1141 391 1610 1128 205 981 1284 1574 1662 1322 1597 248 154
## [1249] 826 907 1446 1363 740 28 1292 373 699 1648 641 1355 1456
## [1262] 221 63 1276 276 343 765 1330 765 785 1232 912 33 433
## [1275] 1579 837 1398 295 1498 347 817 250 861 629 779 1055 187
## [1288] 1640 1022 1344 1222 1177 1019 984 501 839 757 1024 815 65
## [1301] 1407 923 1550 8 39 1082 1156 1386 794 35 1466 620 25
## [1314] 867 707 656 1145 1105 387 733 1635 1635 462 1170 929 169
## [1327] 747 1116 1404 1528 520 224 216 1589 658 503 587 1608 741
## [1340] 1288 1344 1622 1494 1106 232 857 1567 681 1557 1684 1488 446
## [1353] 1621 951 1467 347 1433 1107 1426 155 520 795 1161 337 332
## [1366] 1238 747 637 18 691 1276 1205 354 1272 1049 566 1376 295
## [1379] 620 745 438 985 132 494 1518 567 36 346 1420 182 271
## [1392] 777 439 1675 1044 1402 924 518 834 853 77 1181 435 185
## [1405] 405 1690 982 1264 1632 1614 1710 127 899 1669 797 225 1536
## [1418] 750 1708 1000 1021 89 165 345 664 1534 30 1236 1555 1174
## [1431] 804 27 1639 1723 1080 777 1572 1374 982 613 550 989 1013
## [1444] 1136 1596 879 855 1314 1205 1296 1573 439 1416 1184 281 1623
## [1457] 690 539 1556 2 372 653 1168 569 289 394 109 1721 27
## [1470] 202 203 128 192 1559 483 1189 1353 1150 790 103 230 904
## [1483] 1361 549 911 1708 586 1104 1543 1386 1292 1354 493 93 788
## [1496] 1555 538 682 460 274 1302 324 523 1323 527 1324 1546 501
## [1509] 1473 1491 1062 68 1152 1607 531 1268 339 53 1355 845 11
## [1522] 1652 1068 1700 1243 1284 974 1539 831 76 147 640 1524 510
## [1535] 1182 198 969 344 608 1568 462 1307 204 995 955 1110 1296
## [1548] 1516 222 114 1200 622 515 1630 440 472 1366 1713 221 1720
## [1561] 1568 684 1204 533 1712 1127 1020 1415 596 1667 1260 808 327
## [1574] 1459 241 1644 1247 1507 788 670 721 1126 1112 428 418 1135
## [1587] 1590 606 782 256 1077 52 255 525 615 1537 88 435 281
## [1600] 466 551 625 582 1367 1426 1176 1461 276 305 1358 296 573
## [1613] 985 1556 1011 1550 314 1526 32 1344 143 585 490 754 1071
## [1626] 799 1335 368 947 712 124 664 1368 303 1603 1684 1636 1234
## [1639] 439 438 853 209 763 1406 1047 1085 568 1631 1701 46 1369
## [1652] 698 116 48 530 619 245 1 1482 766 316 1057 161 1388
## [1665] 1071 349 988 365 603 110 435 1182 1406 156 528 889 489
## [1678] 853 369 461 69 1061 552 1142 1705 994 1513 1097 80 1091
## [1691] 689 1013 899 225 31 424 1229 34 1593 1713 1299 289 1220
## [1704] 1544 478 431 664 1234 1358 1658 308 700 1287 1415 1371 1601
## [1717] 437 664 1467 1186 1664 312 1007 1678 339 1025 468 927
##
## $btree
## n= 1728
##
## node), split, n, loss, yval, (yprob)
## * denotes terminal node
##
## 1) root 1728 491 unacc (0.20833333 0.03819444 0.71585648 0.03761574)
## 2) persons=4,more 1140 491 unacc (0.31578947 0.05789474 0.56929825 0.05701754)
## 4) safety=high,med 751 391 acc (0.47936085 0.08788282 0.34620506 0.08655126)
## 8) buying=low,med 371 183 acc (0.50673854 0.17789757 0.14016173 0.17520216)
## 16) maint=high,vhigh 176 54 acc (0.69318182 0.00000000 0.25568182 0.05113636)
## 32) safety=high 80 10 acc (0.87500000 0.00000000 0.01250000 0.11250000)
## 64) buying=med 43 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 65) buying=low 37 10 acc (0.72972973 0.00000000 0.02702703 0.24324324)
## 130) maint=vhigh 21 1 acc (0.95238095 0.00000000 0.04761905 0.00000000)
## 260) doors=3,4,5more 15 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 261) doors=2 6 1 acc (0.83333333 0.00000000 0.16666667 0.00000000)
## 522) lug_boot=big,med 5 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 523) lug_boot=small 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 131) maint=high 16 7 vgood (0.43750000 0.00000000 0.00000000 0.56250000)
## 262) lug_boot=small 6 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 263) lug_boot=big,med 10 1 vgood (0.10000000 0.00000000 0.00000000 0.90000000)
## 526) persons=4 4 1 vgood (0.25000000 0.00000000 0.00000000 0.75000000)
## 1052) doors=3 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1053) doors=2,4 3 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 527) persons=more 6 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 33) safety=med 96 44 acc (0.54166667 0.00000000 0.45833333 0.00000000)
## 66) lug_boot=big,med 55 11 acc (0.80000000 0.00000000 0.20000000 0.00000000)
## 132) lug_boot=big 27 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 133) lug_boot=med 28 11 acc (0.60714286 0.00000000 0.39285714 0.00000000)
## 266) doors=4,5more 9 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 267) doors=2,3 19 8 unacc (0.42105263 0.00000000 0.57894737 0.00000000)
## 534) buying=low 7 2 acc (0.71428571 0.00000000 0.28571429 0.00000000)
## 1068) maint=high 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1069) maint=vhigh 3 1 unacc (0.33333333 0.00000000 0.66666667 0.00000000)
## 2138) doors=3 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2139) doors=2 2 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 535) buying=med 12 3 unacc (0.25000000 0.00000000 0.75000000 0.00000000)
## 1070) persons=more 5 2 acc (0.60000000 0.00000000 0.40000000 0.00000000)
## 2140) doors=3 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2141) doors=2 2 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 1071) persons=4 7 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 67) lug_boot=small 41 8 unacc (0.19512195 0.00000000 0.80487805 0.00000000)
## 134) maint=high 17 8 unacc (0.47058824 0.00000000 0.52941176 0.00000000)
## 268) buying=low 9 1 acc (0.88888889 0.00000000 0.11111111 0.00000000)
## 536) doors=3,5more 6 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 537) doors=2 3 1 acc (0.66666667 0.00000000 0.33333333 0.00000000)
## 1074) persons=4 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1075) persons=more 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 269) buying=med 8 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 135) maint=vhigh 24 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 17) maint=low,med 195 129 acc (0.33846154 0.33846154 0.03589744 0.28717949)
## 34) safety=med 101 42 acc (0.58415842 0.36633663 0.04950495 0.00000000)
## 68) lug_boot=small 40 5 acc (0.87500000 0.00000000 0.12500000 0.00000000)
## 136) doors=3,4,5more 31 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 137) doors=2 9 4 unacc (0.44444444 0.00000000 0.55555556 0.00000000)
## 274) persons=4 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 275) persons=more 5 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 69) lug_boot=big,med 61 24 good (0.39344262 0.60655738 0.00000000 0.00000000)
## 138) maint=med 28 11 acc (0.60714286 0.39285714 0.00000000 0.00000000)
## 276) buying=med 16 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 277) buying=low 12 1 good (0.08333333 0.91666667 0.00000000 0.00000000)
## 554) doors=2 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 555) doors=3,4,5more 11 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 139) maint=low 33 7 good (0.21212121 0.78787879 0.00000000 0.00000000)
## 278) doors=2,3 15 7 good (0.46666667 0.53333333 0.00000000 0.00000000)
## 556) lug_boot=med 9 2 acc (0.77777778 0.22222222 0.00000000 0.00000000)
## 1112) persons=4 5 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1113) persons=more 4 2 acc (0.50000000 0.50000000 0.00000000 0.00000000)
## 2226) doors=2 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2227) doors=3 2 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 557) lug_boot=big 6 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 279) doors=4,5more 18 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 35) safety=high 94 38 vgood (0.07446809 0.30851064 0.02127660 0.59574468)
## 70) lug_boot=small 29 7 good (0.17241379 0.75862069 0.06896552 0.00000000)
## 140) buying=med 12 7 acc (0.41666667 0.41666667 0.16666667 0.00000000)
## 280) maint=med 5 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 281) maint=low 7 2 good (0.00000000 0.71428571 0.28571429 0.00000000)
## 562) doors=3,5more 3 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 563) doors=2 4 2 good (0.00000000 0.50000000 0.50000000 0.00000000)
## 1126) persons=4 2 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 1127) persons=more 2 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 141) buying=low 17 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 71) lug_boot=big,med 65 9 vgood (0.03076923 0.10769231 0.00000000 0.86153846)
## 142) doors=2,3 24 9 vgood (0.08333333 0.29166667 0.00000000 0.62500000)
## 284) lug_boot=med 12 5 good (0.16666667 0.58333333 0.00000000 0.25000000)
## 568) buying=med 3 1 acc (0.66666667 0.33333333 0.00000000 0.00000000)
## 1136) maint=med 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1137) maint=low 1 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 569) buying=low 9 3 good (0.00000000 0.66666667 0.00000000 0.33333333)
## 1138) doors=2 4 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 1139) doors=3 5 2 vgood (0.00000000 0.40000000 0.00000000 0.60000000)
## 2278) persons=4 2 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 2279) persons=more 3 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 285) lug_boot=big 12 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 143) doors=4,5more 41 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 9) buying=high,vhigh 380 172 unacc (0.45263158 0.00000000 0.54736842 0.00000000)
## 18) maint=high,low,med 284 112 acc (0.60563380 0.00000000 0.39436620 0.00000000)
## 36) safety=high 133 24 acc (0.81954887 0.00000000 0.18045113 0.00000000)
## 72) maint=low,med 101 7 acc (0.93069307 0.00000000 0.06930693 0.00000000)
## 144) doors=3,4,5more 81 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 145) doors=2 20 7 acc (0.65000000 0.00000000 0.35000000 0.00000000)
## 290) persons=4 10 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 291) persons=more 10 3 unacc (0.30000000 0.00000000 0.70000000 0.00000000)
## 582) lug_boot=big 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 583) lug_boot=small 7 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 73) maint=high 32 15 unacc (0.46875000 0.00000000 0.53125000 0.00000000)
## 146) buying=high 15 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 147) buying=vhigh 17 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 37) safety=med 151 63 unacc (0.41721854 0.00000000 0.58278146 0.00000000)
## 74) lug_boot=big,med 97 34 acc (0.64948454 0.00000000 0.35051546 0.00000000)
## 148) doors=4,5more 50 8 acc (0.84000000 0.00000000 0.16000000 0.00000000)
## 296) maint=low,med 28 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 297) maint=high 22 8 acc (0.63636364 0.00000000 0.36363636 0.00000000)
## 594) buying=high 14 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 595) buying=vhigh 8 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 149) doors=2,3 47 21 unacc (0.44680851 0.00000000 0.55319149 0.00000000)
## 298) lug_boot=big 22 6 acc (0.72727273 0.00000000 0.27272727 0.00000000)
## 596) maint=low,med 13 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 597) maint=high 9 3 unacc (0.33333333 0.00000000 0.66666667 0.00000000)
## 1194) buying=high 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1195) buying=vhigh 6 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 299) lug_boot=med 25 5 unacc (0.20000000 0.00000000 0.80000000 0.00000000)
## 598) persons=more 12 5 unacc (0.41666667 0.00000000 0.58333333 0.00000000)
## 1196) doors=3 6 1 acc (0.83333333 0.00000000 0.16666667 0.00000000)
## 2392) buying=high 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2393) buying=vhigh 2 1 acc (0.50000000 0.00000000 0.50000000 0.00000000)
## 4786) maint=med 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 4787) maint=high 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 1197) doors=2 6 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 599) persons=4 13 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 75) lug_boot=small 54 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 19) maint=vhigh 96 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 5) safety=low 389 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 3) persons=2 588 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##
## attr(,"class")
## class
## "sclass"
##
## $mtrees[[14]]
## $bindx
## [1] 589 99 34 914 1234 1228 892 847 1622 797 271 854 986
## [14] 591 743 1675 97 184 1372 1570 779 945 598 757 1156 748
## [27] 1523 1043 867 543 777 426 488 1409 687 1719 1662 1709 863
## [40] 744 934 554 1294 571 758 502 621 1397 1297 1338 397 277
## [53] 225 1415 1378 1456 1438 1318 1629 1378 825 509 965 1402 1689
## [66] 364 332 428 1607 698 564 904 162 660 1572 1584 134 593
## [79] 967 1060 1260 1109 1399 362 1010 1185 1075 1382 605 1148 51
## [92] 749 461 334 784 323 868 479 589 1341 337 1085 225 115
## [105] 150 366 1442 405 1372 966 257 402 306 87 39 1358 1338
## [118] 584 139 1136 732 368 210 328 136 1583 1073 52 241 1244
## [131] 1674 67 1628 1525 132 1335 81 1203 561 328 619 1264 385
## [144] 1261 1510 1453 1496 1166 265 240 146 66 1521 1069 700 1381
## [157] 352 1472 1133 551 1414 1542 1669 712 986 144 210 911 1647
## [170] 690 727 1413 594 728 545 1376 8 1722 25 1296 292 111
## [183] 1302 640 1608 1208 647 1301 930 328 1646 1394 734 1301 1139
## [196] 1391 449 82 920 101 1300 1013 1182 215 859 460 1595 834
## [209] 717 1434 892 1349 740 182 1356 375 968 885 1115 1512 1043
## [222] 1368 280 412 849 1226 125 628 1717 957 1326 417 1136 1630
## [235] 994 912 1335 1649 117 926 1090 1534 297 1105 924 26 538
## [248] 1715 313 1546 1054 1651 1237 284 1082 268 1510 1299 626 673
## [261] 525 1681 1296 53 227 1012 781 893 21 632 852 1181 880
## [274] 475 1572 938 943 931 889 1508 737 848 1647 1170 1159 409
## [287] 745 927 1097 30 1616 1414 794 1549 168 395 993 1404 1253
## [300] 424 1468 324 3 612 1704 966 1103 579 351 59 1642 1593
## [313] 471 1246 1469 137 1605 1242 136 103 129 792 222 661 250
## [326] 1439 125 1288 351 1291 1406 1541 175 1276 252 603 1632 683
## [339] 393 1258 1552 1569 347 723 391 1703 262 574 950 1557 996
## [352] 99 1081 902 702 1111 459 1503 1106 945 375 527 1364 10
## [365] 1172 29 1171 651 789 1602 600 700 1448 1619 653 946 1472
## [378] 1526 1454 444 1296 992 590 514 1267 115 415 1149 690 1344
## [391] 402 1509 648 1276 109 1532 1441 177 629 544 1003 714 1520
## [404] 1516 492 923 115 82 1577 1492 36 1245 26 1020 266 1122
## [417] 50 306 330 946 414 1435 1566 1607 220 272 41 1093 390
## [430] 312 1506 1170 444 946 675 1496 69 1360 446 653 1146 411
## [443] 1718 1418 642 704 1619 490 1187 878 936 30 1306 469 1202
## [456] 1100 754 1150 12 1281 578 1259 811 511 1125 1482 1253 1541
## [469] 1402 1037 82 1718 110 94 1048 560 1560 617 1281 1464 1360
## [482] 916 661 906 399 102 135 114 753 983 683 1224 622 1349
## [495] 1208 109 1411 1096 45 1558 354 1400 676 207 810 1335 827
## [508] 82 942 1170 870 1479 162 1722 1117 391 506 774 934 1067
## [521] 600 1694 35 1158 54 1444 689 795 1273 399 394 855 523
## [534] 1602 1237 1295 1040 18 514 872 413 107 393 1501 1468 193
## [547] 577 955 284 1320 631 1068 303 594 1610 549 834 865 1298
## [560] 1224 1450 566 696 682 171 117 1029 535 1410 752 438 114
## [573] 1117 560 451 75 228 1636 1536 467 873 1580 1063 1139 797
## [586] 1652 917 1595 615 683 907 1226 1079 1358 1215 1221 377 1493
## [599] 1161 949 1301 947 480 1213 1495 1029 598 515 36 1371 423
## [612] 690 1373 601 879 1537 1311 1495 917 1293 1400 150 385 1188
## [625] 907 1586 1670 687 1128 527 647 907 726 1556 526 298 1433
## [638] 935 518 1286 463 586 1629 1382 434 1195 857 218 1678 987
## [651] 1338 650 1027 1468 489 615 733 534 702 1118 1543 701 39
## [664] 1212 1207 1105 535 1088 478 1467 1426 23 670 353 35 642
## [677] 1405 1356 1450 1154 1078 1031 198 1632 125 192 335 1021 847
## [690] 160 292 1172 306 1584 968 1029 1683 473 1721 772 1726 660
## [703] 420 439 1080 94 1469 1058 1374 1463 843 1658 1641 368 657
## [716] 1194 1581 432 334 1136 1653 559 1562 1134 8 231 1281 1318
## [729] 208 1620 1333 649 187 1149 803 408 488 1010 1438 1557 903
## [742] 261 1467 989 1726 903 209 657 1319 1450 1286 1313 1169 384
## [755] 1076 381 1166 1039 1091 197 1034 1220 519 921 1381 163 475
## [768] 1072 1167 539 1652 1502 576 1058 1389 1532 1633 1652 537 164
## [781] 523 1494 1132 129 462 1606 460 231 1164 1394 646 1092 845
## [794] 665 770 821 1312 718 755 1504 1183 784 547 349 1173 1277
## [807] 704 986 761 1178 683 1231 649 1043 818 1055 1528 1146 237
## [820] 1464 875 779 1036 678 1417 1584 262 1200 1386 100 143 1498
## [833] 1096 1257 879 261 1187 631 1348 1147 1183 1132 494 690 295
## [846] 87 792 1141 1426 35 88 820 916 35 1347 717 1594 1115
## [859] 335 1428 608 1288 691 1385 945 801 1672 837 1516 830 371
## [872] 718 1525 730 799 898 352 1212 120 1374 505 863 1376 470
## [885] 678 1209 1278 944 1617 487 299 303 949 964 555 292 1451
## [898] 20 1090 703 1377 27 1516 6 595 1271 621 1059 197 7
## [911] 1468 918 488 812 1158 438 37 409 718 1302 675 210 1082
## [924] 827 448 782 928 605 927 462 488 1648 1171 1102 1037 30
## [937] 818 135 1532 603 957 840 87 730 1353 1440 108 997 682
## [950] 1213 765 222 1 1365 1636 690 884 1599 53 1034 73 1524
## [963] 158 35 1173 534 33 638 791 636 1075 346 1497 1516 29
## [976] 1403 1116 494 851 626 896 288 1478 708 674 1618 938 753
## [989] 1457 152 582 698 584 1000 341 404 608 430 125 452 423
## [1002] 503 363 682 785 1469 1014 836 1007 1035 919 1693 1520 117
## [1015] 97 665 124 747 836 1275 1 1068 1516 1191 1122 1720 1457
## [1028] 691 1272 761 1587 468 1162 1525 1176 1601 1085 1090 1086 1339
## [1041] 149 283 174 1497 1029 1034 28 362 1291 1344 1070 467 1050
## [1054] 1036 1449 975 1363 200 686 1528 22 349 1347 959 103 1711
## [1067] 560 669 748 745 434 1490 1524 217 1306 1307 1205 1089 1677
## [1080] 278 999 1472 1689 551 1692 22 19 921 1689 104 1261 1282
## [1093] 1217 21 650 246 716 1565 1486 139 902 616 1261 516 615
## [1106] 1535 517 4 1359 1232 1294 1667 386 347 628 396 1627 571
## [1119] 1494 1204 1131 286 859 596 32 510 140 518 762 1137 1007
## [1132] 866 978 1304 1298 310 836 1133 335 1224 1364 1523 1636 808
## [1145] 710 728 600 514 844 498 1112 1499 497 155 674 783 62
## [1158] 813 736 1235 146 196 492 1569 165 1460 229 267 171 563
## [1171] 1375 1030 1174 195 793 695 754 550 1294 1550 1110 398 752
## [1184] 1542 336 1213 1405 337 838 1305 342 1123 903 1629 695 53
## [1197] 115 1100 98 917 602 891 104 1058 879 1098 1360 868 86
## [1210] 265 1388 489 322 1610 191 122 1162 502 352 1384 1083 900
## [1223] 1207 319 727 901 789 1343 414 1572 1055 1631 1088 1122 1670
## [1236] 743 930 50 1248 1637 1608 1108 1691 390 414 1462 1534 992
## [1249] 794 1083 77 1090 529 11 962 1413 714 1024 1025 1485 1241
## [1262] 245 1126 1358 1057 1401 633 23 858 1355 1384 1674 1604 80
## [1275] 420 742 293 353 1099 1628 1314 1629 1467 1233 1077 1717 1369
## [1288] 548 9 1206 1083 222 1534 1372 821 1435 780 8 608 1353
## [1301] 1122 1118 953 430 211 1474 793 181 597 1593 554 657 284
## [1314] 1715 486 1409 444 727 531 198 1582 829 334 964 593 518
## [1327] 1327 1120 213 907 575 1039 431 1230 607 1315 168 462 1573
## [1340] 1477 1695 321 1311 1484 1183 395 1308 55 206 401 1021 578
## [1353] 1144 933 854 642 1362 1711 1079 1024 1452 1361 497 231 1460
## [1366] 47 778 954 419 734 847 995 194 334 143 665 556 1557
## [1379] 993 498 801 116 983 701 1413 737 1137 204 30 652 1633
## [1392] 1496 432 1179 1461 1558 1217 474 945 1302 1661 1703 704 1010
## [1405] 508 1108 523 1057 77 28 1228 1119 1233 1311 466 1426 1483
## [1418] 160 1234 1353 496 682 1252 876 989 508 1106 1623 1256 175
## [1431] 1354 333 1312 449 1082 1320 1725 1349 425 1402 1215 1173 1430
## [1444] 1184 766 1187 627 815 1686 181 1286 309 1430 767 54 1188
## [1457] 242 1636 1092 194 1499 460 346 352 82 492 43 877 352
## [1470] 655 1072 1486 674 1663 315 1321 56 429 800 992 771 1142
## [1483] 463 1660 752 1306 1277 1611 221 340 1426 129 993 351 372
## [1496] 1587 1005 1336 1208 1167 1662 872 1453 1420 1163 1017 448 158
## [1509] 238 207 1033 698 775 1533 889 1395 864 116 877 695 349
## [1522] 662 820 562 383 1423 1123 655 1518 674 1717 1606 706 1437
## [1535] 230 936 217 1705 1005 910 37 364 771 287 628 1163 1710
## [1548] 365 1420 502 403 624 1305 268 1645 1725 1060 466 1718 1094
## [1561] 265 996 1202 223 84 1469 827 33 609 934 406 729 91
## [1574] 1493 1575 1532 1480 1536 632 5 603 1003 1284 1308 36 1023
## [1587] 837 1273 665 1113 1003 15 97 165 1184 314 1094 141 682
## [1600] 499 898 943 1714 654 1488 1024 1475 246 483 277 1405 701
## [1613] 1141 1696 861 265 794 895 875 1465 1216 1396 1378 78 785
## [1626] 1252 1518 404 270 1624 35 1177 1711 560 1300 1019 1393 849
## [1639] 1490 1419 983 1728 1162 903 986 389 1221 329 811 1527 337
## [1652] 1662 477 1377 1256 392 1363 682 245 123 1645 1498 1413 1199
## [1665] 1614 68 1106 1370 1218 212 1564 1357 139 727 1268 1258 580
## [1678] 261 1450 351 91 756 1179 148 439 1126 1195 1319 360 623
## [1691] 1528 725 1454 1658 1615 909 502 1288 910 17 220 138 1248
## [1704] 1667 339 338 980 1526 1148 1170 1552 720 1252 335 1286 93
## [1717] 1460 584 125 1393 385 1674 158 40 611 25 869 584
##
## $btree
## n= 1728
##
## node), split, n, loss, yval, (yprob)
## * denotes terminal node
##
## 1) root 1728 520 unacc (0.22974537 0.03530093 0.69907407 0.03587963)
## 2) persons=4,more 1136 520 unacc (0.34947183 0.05369718 0.54225352 0.05457746)
## 4) safety=high,med 752 355 acc (0.52792553 0.08111702 0.30851064 0.08244681)
## 8) buying=low,med 382 176 acc (0.53926702 0.15968586 0.13874346 0.16230366)
## 16) maint=high,vhigh 190 47 acc (0.75263158 0.00000000 0.21578947 0.03157895)
## 32) lug_boot=big,med 119 15 acc (0.87394958 0.00000000 0.07563025 0.05042017)
## 64) doors=3,4,5more 89 7 acc (0.92134831 0.00000000 0.01123596 0.06741573)
## 128) maint=vhigh 50 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 129) maint=high 39 7 acc (0.82051282 0.00000000 0.02564103 0.15384615)
## 258) safety=med 25 1 acc (0.96000000 0.00000000 0.04000000 0.00000000)
## 516) doors=4,5more 18 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 517) doors=3 7 1 acc (0.85714286 0.00000000 0.14285714 0.00000000)
## 1034) buying=low 5 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1035) buying=med 2 1 acc (0.50000000 0.00000000 0.50000000 0.00000000)
## 2070) lug_boot=big 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2071) lug_boot=med 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 259) safety=high 14 6 acc (0.57142857 0.00000000 0.00000000 0.42857143)
## 518) buying=med 8 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 519) buying=low 6 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 65) doors=2 30 8 acc (0.73333333 0.00000000 0.26666667 0.00000000)
## 130) safety=high 16 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 131) safety=med 14 6 unacc (0.42857143 0.00000000 0.57142857 0.00000000)
## 262) lug_boot=big 5 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 263) lug_boot=med 9 1 unacc (0.11111111 0.00000000 0.88888889 0.00000000)
## 526) buying=low 3 1 unacc (0.33333333 0.00000000 0.66666667 0.00000000)
## 1052) maint=high 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1053) maint=vhigh 2 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 527) buying=med 6 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 33) lug_boot=small 71 32 acc (0.54929577 0.00000000 0.45070423 0.00000000)
## 66) safety=high 32 4 acc (0.87500000 0.00000000 0.12500000 0.00000000)
## 132) doors=3,4,5more 25 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 133) doors=2 7 3 unacc (0.42857143 0.00000000 0.57142857 0.00000000)
## 266) persons=4 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 267) persons=more 4 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 67) safety=med 39 11 unacc (0.28205128 0.00000000 0.71794872 0.00000000)
## 134) buying=low 17 6 acc (0.64705882 0.00000000 0.35294118 0.00000000)
## 268) maint=high 11 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 269) maint=vhigh 6 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 135) buying=med 22 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 17) maint=low,med 192 129 acc (0.32812500 0.31770833 0.06250000 0.29166667)
## 34) safety=med 92 43 acc (0.53260870 0.36956522 0.09782609 0.00000000)
## 68) lug_boot=small 35 9 acc (0.74285714 0.00000000 0.25714286 0.00000000)
## 136) doors=3,4,5more 21 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 137) doors=2 14 5 unacc (0.35714286 0.00000000 0.64285714 0.00000000)
## 274) persons=4 5 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 275) persons=more 9 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 69) lug_boot=big,med 57 23 good (0.40350877 0.59649123 0.00000000 0.00000000)
## 138) maint=med 32 12 acc (0.62500000 0.37500000 0.00000000 0.00000000)
## 276) buying=med 17 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 277) buying=low 15 3 good (0.20000000 0.80000000 0.00000000 0.00000000)
## 554) doors=2 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 555) doors=3,4,5more 12 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 139) maint=low 25 3 good (0.12000000 0.88000000 0.00000000 0.00000000)
## 278) lug_boot=med 9 3 good (0.33333333 0.66666667 0.00000000 0.00000000)
## 556) doors=2 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 557) doors=3,4,5more 7 1 good (0.14285714 0.85714286 0.00000000 0.00000000)
## 1114) doors=3 3 1 good (0.33333333 0.66666667 0.00000000 0.00000000)
## 2228) persons=4 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2229) persons=more 2 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 1115) doors=4,5more 4 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 279) lug_boot=big 16 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 35) safety=high 100 44 vgood (0.14000000 0.27000000 0.03000000 0.56000000)
## 70) lug_boot=small 30 13 good (0.33333333 0.56666667 0.10000000 0.00000000)
## 140) buying=med 15 5 acc (0.66666667 0.26666667 0.06666667 0.00000000)
## 280) maint=med 10 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 281) maint=low 5 1 good (0.00000000 0.80000000 0.20000000 0.00000000)
## 562) persons=4 4 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 563) persons=more 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 141) buying=low 15 2 good (0.00000000 0.86666667 0.13333333 0.00000000)
## 282) doors=3,4,5more 9 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 283) doors=2 6 2 good (0.00000000 0.66666667 0.33333333 0.00000000)
## 566) persons=4 4 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 567) persons=more 2 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 71) lug_boot=big,med 70 14 vgood (0.05714286 0.14285714 0.00000000 0.80000000)
## 142) doors=2,3 33 14 vgood (0.12121212 0.30303030 0.00000000 0.57575758)
## 284) lug_boot=med 15 5 good (0.26666667 0.66666667 0.00000000 0.06666667)
## 568) maint=med 8 4 acc (0.50000000 0.37500000 0.00000000 0.12500000)
## 1136) buying=med 5 1 acc (0.80000000 0.00000000 0.00000000 0.20000000)
## 2272) persons=4 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2273) persons=more 1 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 1137) buying=low 3 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 569) maint=low 7 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 285) lug_boot=big 18 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 143) doors=4,5more 37 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 9) buying=high,vhigh 370 179 acc (0.51621622 0.00000000 0.48378378 0.00000000)
## 18) maint=low,med 198 43 acc (0.78282828 0.00000000 0.21717172 0.00000000)
## 36) lug_boot=big,med 145 13 acc (0.91034483 0.00000000 0.08965517 0.00000000)
## 72) lug_boot=big 75 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 73) lug_boot=med 70 13 acc (0.81428571 0.00000000 0.18571429 0.00000000)
## 146) safety=high 37 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 147) safety=med 33 13 acc (0.60606061 0.00000000 0.39393939 0.00000000)
## 294) doors=4,5more 16 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 295) doors=2,3 17 4 unacc (0.23529412 0.00000000 0.76470588 0.00000000)
## 590) maint=med 8 4 acc (0.50000000 0.00000000 0.50000000 0.00000000)
## 1180) persons=more 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1181) persons=4 4 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 591) maint=low 9 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 37) lug_boot=small 53 23 unacc (0.43396226 0.00000000 0.56603774 0.00000000)
## 74) safety=high 26 3 acc (0.88461538 0.00000000 0.11538462 0.00000000)
## 148) doors=3,4,5more 19 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 149) doors=2 7 3 acc (0.57142857 0.00000000 0.42857143 0.00000000)
## 298) persons=4 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 299) persons=more 3 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 75) safety=med 27 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 19) maint=high,vhigh 172 36 unacc (0.20930233 0.00000000 0.79069767 0.00000000)
## 38) buying=high 85 36 unacc (0.42352941 0.00000000 0.57647059 0.00000000)
## 76) maint=high 52 16 acc (0.69230769 0.00000000 0.30769231 0.00000000)
## 152) doors=3,4,5more 39 6 acc (0.84615385 0.00000000 0.15384615 0.00000000)
## 304) lug_boot=big,med 25 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 305) lug_boot=small 14 6 acc (0.57142857 0.00000000 0.42857143 0.00000000)
## 610) safety=high 8 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 611) safety=med 6 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 153) doors=2 13 3 unacc (0.23076923 0.00000000 0.76923077 0.00000000)
## 306) lug_boot=big,med 6 3 acc (0.50000000 0.00000000 0.50000000 0.00000000)
## 612) safety=high 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 613) safety=med 4 1 unacc (0.25000000 0.00000000 0.75000000 0.00000000)
## 1226) lug_boot=big 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1227) lug_boot=med 3 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 307) lug_boot=small 7 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 77) maint=vhigh 33 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 39) buying=vhigh 87 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 5) safety=low 384 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 3) persons=2 592 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##
## attr(,"class")
## class
## "sclass"
##
## $mtrees[[15]]
## $bindx
## [1] 345 1505 1578 134 1650 1029 1064 210 1363 571 761 1547 998
## [14] 452 1593 1526 241 1115 865 1075 1196 588 11 535 345 1180
## [27] 489 558 1451 1035 1711 1034 737 436 1542 208 1107 1079 953
## [40] 674 139 1216 190 1069 788 35 1522 381 1197 471 1525 854
## [53] 243 1133 591 685 835 269 832 539 623 1312 1687 776 1164
## [66] 1324 1394 1237 442 484 1243 1549 541 1007 1175 1075 455 518
## [79] 147 628 652 1540 1124 376 404 1589 1555 1220 1365 1456 1265
## [92] 634 77 1285 1497 20 1141 1302 1097 1120 777 993 1016 1177
## [105] 407 1278 791 1191 627 318 582 1152 1434 343 524 16 1543
## [118] 1134 672 46 878 1094 1103 363 557 1172 1151 1513 1434 1039
## [131] 55 867 759 458 842 784 1321 1369 68 784 426 1584 264
## [144] 486 522 1052 1085 1673 1208 251 625 441 342 740 266 1002
## [157] 166 994 1123 4 1122 505 1418 1041 912 717 1449 1199 668
## [170] 1581 426 588 425 261 657 604 181 1206 859 189 774 1170
## [183] 1114 1583 1533 1533 360 478 1559 718 1504 574 744 880 1041
## [196] 597 403 1453 1137 958 609 382 1538 265 1067 248 1106 1203
## [209] 590 536 119 541 536 1663 1074 939 926 1024 697 485 736
## [222] 1521 955 1002 182 1112 177 1614 112 86 327 1684 1336 119
## [235] 1643 445 854 1597 322 167 899 1422 970 212 1286 1172 1418
## [248] 755 1725 1317 47 1473 1525 1092 1493 125 932 614 198 1632
## [261] 372 294 1206 1521 915 1280 901 450 1328 1198 985 1574 27
## [274] 501 693 894 937 1334 1363 861 37 1686 988 95 1213 1212
## [287] 578 1187 1330 714 30 23 1548 6 657 984 619 727 235
## [300] 1621 1255 976 285 423 409 172 178 556 1448 598 1541 1020
## [313] 493 201 1247 1486 623 465 1206 1143 1045 89 1075 1498 385
## [326] 1242 260 1603 1160 496 1599 1619 240 946 398 1026 421 641
## [339] 381 1182 1632 1128 1448 174 296 1586 299 183 645 1470 1039
## [352] 771 868 1395 910 1171 1701 1727 1371 1401 577 1019 1647 1144
## [365] 278 712 1506 738 787 1125 754 804 1443 1725 177 896 837
## [378] 688 486 825 1396 382 936 1255 1168 89 1402 1046 297 809
## [391] 458 545 240 1267 488 1554 284 1726 855 855 1081 688 917
## [404] 623 257 1602 529 1359 429 206 325 917 261 1248 624 889
## [417] 124 1120 227 381 214 1542 1140 72 975 822 1687 297 592
## [430] 125 424 1244 182 1620 754 1432 195 1678 873 260 1320 130
## [443] 1527 226 732 1001 1214 905 914 1420 905 520 1106 190 664
## [456] 1365 216 679 512 1464 1333 807 1449 1505 831 408 803 173
## [469] 766 501 769 1538 1575 1101 402 964 931 588 171 449 106
## [482] 1725 869 1556 885 1414 1553 1611 1702 676 1548 626 48 216
## [495] 1082 1518 1158 1451 1667 1571 405 1677 669 696 1492 1101 212
## [508] 29 255 122 254 1151 928 312 1719 572 1494 418 918 1664
## [521] 805 1635 601 1452 1506 1518 394 1615 67 1463 535 1440 1627
## [534] 1186 1037 1504 571 1568 1158 652 1095 1231 648 547 1724 563
## [547] 946 806 650 1065 1098 777 1125 700 854 1278 1268 560 1212
## [560] 112 1450 240 748 676 1554 249 821 1046 1621 953 1638 1170
## [573] 899 520 830 1619 74 683 17 453 992 583 1145 1139 1361
## [586] 805 1633 374 13 1335 130 1627 1563 1024 899 1005 372 903
## [599] 337 1214 1022 622 574 317 1239 1378 1065 831 36 1186 970
## [612] 1045 990 235 50 808 1555 842 324 1029 664 1140 587 101
## [625] 904 863 5 1678 7 941 366 453 1183 1589 1080 925 1054
## [638] 1536 1597 437 81 135 66 697 276 1414 668 621 1647 444
## [651] 631 698 1348 1272 1286 1007 1300 264 471 772 961 1085 1457
## [664] 1428 82 197 938 767 968 1191 772 1642 1165 1195 97 739
## [677] 53 1601 647 529 470 931 1106 1693 600 287 351 601 487
## [690] 7 840 1138 175 1463 1328 1205 1324 1615 1123 582 1487 328
## [703] 398 887 926 1367 48 350 1160 791 376 941 621 925 468
## [716] 1548 287 1029 1287 569 177 279 1380 1642 807 607 724 634
## [729] 1524 1058 303 995 1246 67 46 1728 626 593 1633 707 1065
## [742] 671 470 994 245 554 153 1110 1496 1542 205 487 123 214
## [755] 1071 1432 1587 655 1545 785 56 606 1675 506 199 1032 330
## [768] 399 1689 348 253 201 975 672 463 356 1625 1445 1143 964
## [781] 1028 991 1548 100 254 81 911 1131 950 523 1386 1401 1255
## [794] 228 930 116 1510 1032 1318 693 1181 1373 1585 1178 967 900
## [807] 726 1528 867 800 128 1516 649 1128 236 208 272 921 1721
## [820] 765 966 1654 1036 1176 469 485 6 1518 1207 232 626 1388
## [833] 636 7 483 971 1305 1415 1581 395 144 512 886 18 948
## [846] 1128 436 1439 1440 610 1623 1527 1461 343 1181 575 601 954
## [859] 360 944 359 925 395 686 858 766 1499 1117 716 1528 448
## [872] 171 728 415 1080 850 1525 678 921 451 1082 83 1163 1535
## [885] 262 1482 1055 372 116 621 421 1344 1725 204 1342 1230 47
## [898] 885 842 29 714 1485 1419 890 1086 261 1685 427 1414 1260
## [911] 950 1357 1370 511 275 1174 859 1354 1486 138 1284 653 844
## [924] 1682 544 337 400 1614 68 1427 659 423 1450 1390 1262 1342
## [937] 1276 653 501 1128 1563 1554 272 861 822 1343 440 1154 1006
## [950] 727 972 979 1523 191 1700 1132 335 303 686 477 1232 691
## [963] 1617 1232 1445 307 51 1223 571 1249 871 1079 776 1689 941
## [976] 1542 335 502 95 693 434 585 1449 1591 1417 124 111 1391
## [989] 1672 1430 1165 325 978 6 1180 804 1414 1076 1604 1456 1405
## [1002] 1491 523 1381 351 330 1315 620 97 84 642 555 1050 1158
## [1015] 801 471 541 1613 1028 1145 670 1505 1693 516 143 1598 36
## [1028] 594 424 492 681 265 443 117 1022 1459 946 531 550 159
## [1041] 1099 1003 1271 323 337 207 398 133 987 726 1634 939 1178
## [1054] 1396 1220 591 1429 1533 150 917 26 1067 1169 674 1693 435
## [1067] 752 116 1254 218 621 767 1324 419 1310 943 294 786 1177
## [1080] 722 683 1120 134 20 611 922 745 603 1 1506 1190 1536
## [1093] 1117 1505 247 964 359 427 1123 1194 538 1295 1446 537 1665
## [1106] 545 976 640 1203 1486 14 121 349 15 1725 1092 18 1456
## [1119] 661 559 1347 965 187 575 1697 1691 589 26 415 1400 1502
## [1132] 1086 1669 568 361 221 1113 1049 760 1416 1318 1592 560 214
## [1145] 628 902 829 122 1196 1660 1490 946 233 398 1186 341 908
## [1158] 1066 377 806 904 624 166 340 1212 879 603 255 831 864
## [1171] 124 1038 377 873 485 870 293 641 1070 1482 1495 137 522
## [1184] 1619 1284 151 1661 868 1147 367 1323 1711 798 1319 1600 855
## [1197] 1670 1694 694 71 863 527 406 571 1453 99 1387 617 569
## [1210] 20 731 979 1170 542 1004 1080 5 211 275 137 846 1262
## [1223] 1552 222 218 169 949 540 269 1618 529 825 38 387 581
## [1236] 1496 620 475 1149 1586 312 1511 1644 1192 746 431 1476 574
## [1249] 334 1363 1179 533 558 1339 211 1651 393 783 1615 212 998
## [1262] 433 40 1276 169 385 946 955 349 1395 1105 714 352 356
## [1275] 346 1061 742 1267 1394 1446 1239 556 1570 1634 1304 882 1631
## [1288] 1553 1080 575 253 53 1018 1618 225 294 1151 1122 1045 1330
## [1301] 250 223 1531 291 129 1435 1177 1680 1685 900 834 17 443
## [1314] 34 1487 1214 1181 1544 1 1338 1144 1116 352 1229 372 1284
## [1327] 145 241 610 1645 1277 350 1584 855 813 92 154 926 324
## [1340] 379 766 1114 154 281 136 294 501 18 877 435 1543 25
## [1353] 907 1117 612 1041 1650 1175 203 68 1082 1050 1004 1652 544
## [1366] 274 16 128 126 1692 512 389 1167 915 1569 1623 1147 420
## [1379] 314 1618 856 503 377 1254 614 1470 1568 551 958 1585 1083
## [1392] 1441 445 1027 636 799 1625 322 1018 1440 1672 440 216 555
## [1405] 1052 1204 1243 975 1618 295 859 1004 414 1544 696 1321 84
## [1418] 1263 723 161 1574 1349 838 943 922 1158 999 317 222 206
## [1431] 1356 1624 23 1096 309 1650 10 915 169 843 1409 691 1000
## [1444] 1303 665 1403 1111 1611 1668 82 1671 569 893 389 942 1018
## [1457] 352 1000 1724 1070 651 1349 985 1173 8 1169 328 788 1319
## [1470] 1127 442 740 1371 440 421 1382 1297 691 604 91 1063 207
## [1483] 369 1109 1285 980 950 1300 252 1193 1295 50 773 112 1151
## [1496] 1128 1018 19 771 1588 1608 183 1427 513 11 789 858 211
## [1509] 323 1550 1496 309 618 817 168 1685 1708 490 1602 1230 1412
## [1522] 1064 1132 532 769 1103 301 636 1334 313 890 882 265 963
## [1535] 1350 140 953 338 1534 1150 790 945 1087 21 343 781 295
## [1548] 788 853 396 856 750 629 413 211 890 689 658 240 426
## [1561] 937 538 322 318 472 659 694 1360 1485 478 905 927 854
## [1574] 860 701 202 58 1135 1132 580 38 71 1333 1650 1051 6
## [1587] 1190 430 56 1240 323 652 1266 1611 1481 686 753 1312 1314
## [1600] 1382 1291 1345 1061 395 159 435 887 173 637 503 760 1117
## [1613] 1489 178 1020 1356 722 558 683 958 1383 1571 221 467 1157
## [1626] 1618 432 371 766 1064 963 1530 613 710 9 1184 265 1122
## [1639] 397 1421 1425 614 904 141 1077 720 1639 198 416 662 1405
## [1652] 579 838 711 898 1466 1311 1711 507 1331 1320 259 878 817
## [1665] 1578 256 85 1338 1362 1169 633 1014 1046 1248 1179 365 65
## [1678] 420 1092 1081 33 350 787 1546 1005 286 1293 1257 447 636
## [1691] 1320 1707 82 299 1658 546 1033 651 1202 1565 112 466 384
## [1704] 929 738 1022 694 1629 990 439 501 1590 1367 1725 212 683
## [1717] 1481 400 1712 784 360 167 1373 439 1097 1299 207 300
##
## $btree
## n= 1728
##
## node), split, n, loss, yval, (yprob)
## * denotes terminal node
##
## 1) root 1728 544 unacc (0.23842593 0.03530093 0.68518519 0.04108796)
## 2) safety=high,med 1142 544 unacc (0.36077058 0.05341506 0.52364273 0.06217163)
## 4) persons=4,more 786 374 acc (0.52417303 0.07760814 0.30788804 0.09033079)
## 8) buying=low,med 396 174 acc (0.56060606 0.15404040 0.10606061 0.17929293)
## 16) maint=high,vhigh 192 46 acc (0.76041667 0.00000000 0.18750000 0.05208333)
## 32) lug_boot=big,med 129 21 acc (0.83720930 0.00000000 0.08527132 0.07751938)
## 64) safety=med 69 11 acc (0.84057971 0.00000000 0.15942029 0.00000000)
## 128) doors=3,4,5more 50 3 acc (0.94000000 0.00000000 0.06000000 0.00000000)
## 256) doors=4,5more 31 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 257) doors=3 19 3 acc (0.84210526 0.00000000 0.15789474 0.00000000)
## 514) persons=more 10 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 515) persons=4 9 3 acc (0.66666667 0.00000000 0.33333333 0.00000000)
## 1030) maint=high 5 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1031) maint=vhigh 4 1 unacc (0.25000000 0.00000000 0.75000000 0.00000000)
## 2062) lug_boot=big 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2063) lug_boot=med 3 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 129) doors=2 19 8 acc (0.57894737 0.00000000 0.42105263 0.00000000)
## 258) lug_boot=big 7 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 259) lug_boot=med 12 4 unacc (0.33333333 0.00000000 0.66666667 0.00000000)
## 518) maint=high 5 1 acc (0.80000000 0.00000000 0.20000000 0.00000000)
## 1036) buying=low 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1037) buying=med 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 519) maint=vhigh 7 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 65) safety=high 60 10 acc (0.83333333 0.00000000 0.00000000 0.16666667)
## 130) buying=med 30 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 131) buying=low 30 10 acc (0.66666667 0.00000000 0.00000000 0.33333333)
## 262) maint=vhigh 16 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 263) maint=high 14 4 vgood (0.28571429 0.00000000 0.00000000 0.71428571)
## 526) lug_boot=med 7 3 acc (0.57142857 0.00000000 0.00000000 0.42857143)
## 1052) doors=2,3 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1053) doors=4 3 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 527) lug_boot=big 7 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 33) lug_boot=small 63 25 acc (0.60317460 0.00000000 0.39682540 0.00000000)
## 66) safety=high 33 5 acc (0.84848485 0.00000000 0.15151515 0.00000000)
## 132) doors=3,4,5more 26 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 133) doors=2 7 2 unacc (0.28571429 0.00000000 0.71428571 0.00000000)
## 266) persons=4 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 267) persons=more 5 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 67) safety=med 30 10 unacc (0.33333333 0.00000000 0.66666667 0.00000000)
## 134) buying=low 16 6 acc (0.62500000 0.00000000 0.37500000 0.00000000)
## 268) maint=high 10 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 269) maint=vhigh 6 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 135) buying=med 14 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 17) maint=low,med 204 128 acc (0.37254902 0.29901961 0.02941176 0.29901961)
## 34) safety=med 95 33 acc (0.65263158 0.33684211 0.01052632 0.00000000)
## 68) lug_boot=med,small 54 8 acc (0.85185185 0.12962963 0.01851852 0.00000000)
## 136) lug_boot=small 30 1 acc (0.96666667 0.00000000 0.03333333 0.00000000)
## 272) doors=3,4,5more 26 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 273) doors=2 4 1 acc (0.75000000 0.00000000 0.25000000 0.00000000)
## 546) persons=4 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 547) persons=more 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 137) lug_boot=med 24 7 acc (0.70833333 0.29166667 0.00000000 0.00000000)
## 274) persons=4 11 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 275) persons=more 13 6 good (0.46153846 0.53846154 0.00000000 0.00000000)
## 550) doors=2 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 551) doors=3,4,5more 9 2 good (0.22222222 0.77777778 0.00000000 0.00000000)
## 1102) buying=med 3 1 acc (0.66666667 0.33333333 0.00000000 0.00000000)
## 2204) maint=med 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2205) maint=low 1 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 1103) buying=low 6 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 69) lug_boot=big 41 16 good (0.39024390 0.60975610 0.00000000 0.00000000)
## 138) maint=med 25 9 acc (0.64000000 0.36000000 0.00000000 0.00000000)
## 276) buying=med 16 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 277) buying=low 9 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 139) maint=low 16 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 35) safety=high 109 48 vgood (0.12844037 0.26605505 0.04587156 0.55963303)
## 70) lug_boot=small 28 15 good (0.35714286 0.46428571 0.17857143 0.00000000)
## 140) buying=med 15 5 acc (0.66666667 0.20000000 0.13333333 0.00000000)
## 280) maint=med 12 2 acc (0.83333333 0.00000000 0.16666667 0.00000000)
## 560) doors=3,5more 7 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 561) doors=2 5 2 acc (0.60000000 0.00000000 0.40000000 0.00000000)
## 1122) persons=4 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1123) persons=more 2 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 281) maint=low 3 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 141) buying=low 13 3 good (0.00000000 0.76923077 0.23076923 0.00000000)
## 282) doors=3,4,5more 7 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 283) doors=2 6 3 good (0.00000000 0.50000000 0.50000000 0.00000000)
## 566) persons=4 3 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 567) persons=more 3 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 71) lug_boot=big,med 81 20 vgood (0.04938272 0.19753086 0.00000000 0.75308642)
## 142) doors=2,3 40 20 vgood (0.10000000 0.40000000 0.00000000 0.50000000)
## 284) lug_boot=med 26 10 good (0.15384615 0.61538462 0.00000000 0.23076923)
## 568) doors=2 12 1 good (0.08333333 0.91666667 0.00000000 0.00000000)
## 1136) maint=med 5 1 good (0.20000000 0.80000000 0.00000000 0.00000000)
## 2272) buying=med 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2273) buying=low 4 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 1137) maint=low 7 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 569) doors=3 14 8 vgood (0.21428571 0.35714286 0.00000000 0.42857143)
## 1138) persons=4 8 3 good (0.37500000 0.62500000 0.00000000 0.00000000)
## 2276) buying=med 5 2 acc (0.60000000 0.40000000 0.00000000 0.00000000)
## 4552) maint=med 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 4553) maint=low 2 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 2277) buying=low 3 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 1139) persons=more 6 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 285) lug_boot=big 14 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 143) doors=4,5more 41 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 9) buying=high,vhigh 390 190 unacc (0.48717949 0.00000000 0.51282051 0.00000000)
## 18) maint=low,med 198 47 acc (0.76262626 0.00000000 0.23737374 0.00000000)
## 36) lug_boot=big,med 122 6 acc (0.95081967 0.00000000 0.04918033 0.00000000)
## 72) lug_boot=big 70 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 73) lug_boot=med 52 6 acc (0.88461538 0.00000000 0.11538462 0.00000000)
## 146) safety=high 35 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 147) safety=med 17 6 acc (0.64705882 0.00000000 0.35294118 0.00000000)
## 294) doors=3,4,5more 14 3 acc (0.78571429 0.00000000 0.21428571 0.00000000)
## 588) persons=more 8 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 589) persons=4 6 3 acc (0.50000000 0.00000000 0.50000000 0.00000000)
## 1178) doors=4,5more 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1179) doors=3 3 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 295) doors=2 3 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 37) lug_boot=small 76 35 unacc (0.46052632 0.00000000 0.53947368 0.00000000)
## 74) safety=high 40 5 acc (0.87500000 0.00000000 0.12500000 0.00000000)
## 148) doors=3,4,5more 34 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 149) doors=2 6 1 unacc (0.16666667 0.00000000 0.83333333 0.00000000)
## 298) persons=4 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 299) persons=more 5 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 75) safety=med 36 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 19) maint=high,vhigh 192 39 unacc (0.20312500 0.00000000 0.79687500 0.00000000)
## 38) buying=high 98 39 unacc (0.39795918 0.00000000 0.60204082 0.00000000)
## 76) maint=high 52 13 acc (0.75000000 0.00000000 0.25000000 0.00000000)
## 152) safety=high 31 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 153) safety=med 21 8 unacc (0.38095238 0.00000000 0.61904762 0.00000000)
## 306) lug_boot=big 6 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 307) lug_boot=med,small 15 2 unacc (0.13333333 0.00000000 0.86666667 0.00000000)
## 614) lug_boot=med 5 2 unacc (0.40000000 0.00000000 0.60000000 0.00000000)
## 1228) doors=3,4 3 1 acc (0.66666667 0.00000000 0.33333333 0.00000000)
## 2456) persons=more 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2457) persons=4 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 1229) doors=2 2 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 615) lug_boot=small 10 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 77) maint=vhigh 46 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 39) buying=vhigh 94 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 5) persons=2 356 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 3) safety=low 586 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##
## attr(,"class")
## class
## "sclass"
##
## $mtrees[[16]]
## $bindx
## [1] 861 617 1140 1221 1274 1231 155 1630 1462 8 968 1045 1659
## [14] 746 1076 1067 694 109 540 366 1331 420 227 104 1344 86
## [27] 579 181 1682 1457 316 186 1726 1058 1071 791 510 943 1193
## [40] 1638 1160 1009 44 1376 1042 861 1569 606 37 1702 1398 308
## [53] 419 83 485 120 318 263 1579 730 1492 1232 1612 826 919
## [66] 1362 195 1684 234 749 672 6 1260 1655 536 103 1324 1052
## [79] 866 561 656 264 1174 663 66 1078 1004 1043 626 66 1207
## [92] 1372 1357 208 1548 485 470 1607 324 1337 288 1409 782 701
## [105] 1346 1094 1186 374 268 1452 651 996 1265 470 1056 244 999
## [118] 305 756 1675 501 727 1153 1605 245 1511 1707 1329 259 350
## [131] 1001 1228 1605 1485 1659 75 1377 935 822 1703 1723 1495 1537
## [144] 25 1622 1571 1412 1363 1012 259 693 578 1030 1716 1214 1219
## [157] 1499 617 1385 543 1694 1225 816 756 1183 485 304 222 1322
## [170] 1160 920 27 124 701 841 510 1032 255 552 859 1058 465
## [183] 581 1592 488 436 943 1130 1199 658 449 1074 610 943 1213
## [196] 737 506 178 1166 856 1251 1553 665 732 1057 481 598 1462
## [209] 314 1287 1531 1640 782 849 1649 217 1350 1663 909 64 696
## [222] 156 337 194 1405 487 1376 1649 287 179 385 899 165 332
## [235] 84 786 1255 1073 909 40 1181 970 1717 749 260 756 198
## [248] 1590 192 1511 518 838 745 793 1420 1472 700 1304 1600 572
## [261] 828 1111 1445 857 956 16 1555 293 985 704 317 617 1384
## [274] 459 949 49 349 717 963 1421 919 1717 583 755 1132 1430
## [287] 940 601 1050 352 44 1376 953 1312 484 806 49 942 233
## [300] 958 918 164 1 810 174 341 463 685 933 902 381 1269
## [313] 566 1634 564 706 990 688 308 967 203 287 1190 382 1157
## [326] 1663 1486 217 309 1476 1594 948 754 537 128 938 1230 158
## [339] 924 990 175 1700 782 168 112 686 470 1431 810 1229 555
## [352] 1409 861 172 1398 1523 880 506 179 1641 1303 545 398 307
## [365] 974 1093 1061 1546 51 1262 851 1532 247 1426 1213 1655 240
## [378] 323 1520 321 122 735 1459 1099 1642 77 34 1542 687 1220
## [391] 1149 491 205 1509 980 326 365 679 1556 534 1035 652 641
## [404] 159 800 322 1009 93 676 1484 838 1508 937 1484 1536 473
## [417] 1655 1160 249 1607 954 602 1276 1096 344 625 771 554 543
## [430] 256 705 906 1673 1209 951 185 708 1583 1170 1176 514 1100
## [443] 1314 1593 1434 1589 139 330 746 1364 1117 503 861 881 213
## [456] 1500 481 1169 1342 1533 283 403 1634 933 1536 1497 1624 1210
## [469] 1090 1187 777 360 1561 395 1216 922 681 1231 427 748 1351
## [482] 252 1229 420 887 776 148 1120 925 37 1156 224 491 786
## [495] 925 766 1276 633 1296 506 1419 1181 1624 813 958 767 310
## [508] 1628 306 1452 978 1273 80 822 599 1214 1340 927 268 790
## [521] 587 27 1574 687 863 1473 1304 9 1027 1050 1302 1711 538
## [534] 209 152 1522 578 1416 217 402 435 1371 1475 71 1548 262
## [547] 1298 1237 28 384 1523 1068 873 1698 534 589 1459 1568 1718
## [560] 1337 1621 84 567 887 79 859 818 1687 20 966 991 98
## [573] 282 414 508 1660 830 1327 1012 258 409 349 716 1272 381
## [586] 102 1050 1339 912 710 221 966 1348 1499 1378 711 738 1357
## [599] 255 430 1100 386 1720 874 168 1246 1557 409 1022 1580 546
## [612] 1433 889 1228 1033 714 1114 887 1372 652 254 916 580 1420
## [625] 1291 1722 1649 150 699 1672 66 276 944 903 673 1111 1295
## [638] 1418 1348 313 1672 1355 205 90 224 1201 878 438 397 603
## [651] 804 630 921 608 943 1247 713 98 463 798 1242 676 941
## [664] 129 217 54 1620 1444 1295 823 133 582 121 765 47 1374
## [677] 1088 1247 538 1256 978 868 1170 1184 1676 283 39 244 1645
## [690] 1516 1016 1653 1674 1674 1077 1035 153 448 794 299 1718 1670
## [703] 831 426 537 1649 740 1362 1677 1093 1181 9 399 152 308
## [716] 1369 634 1023 1537 1370 1599 1010 1468 959 407 747 528 1537
## [729] 1139 1100 444 1424 851 242 1461 915 639 254 10 869 572
## [742] 217 1571 1325 846 1706 1257 209 885 1174 1207 1321 722 760
## [755] 1284 1093 1315 1340 280 93 1721 1426 43 230 1450 1066 561
## [768] 756 718 1189 1226 1225 827 619 31 591 917 513 611 736
## [781] 14 25 1359 1399 75 394 1412 1715 591 183 1267 980 1111
## [794] 1568 1283 825 1530 867 1004 1496 918 878 764 166 844 1469
## [807] 1588 1152 887 640 948 707 384 59 1629 728 1080 680 494
## [820] 1414 917 1270 1068 1635 966 1637 597 955 1284 1360 797 538
## [833] 339 1251 777 860 803 1097 1237 1526 886 183 1444 1075 575
## [846] 738 800 369 723 389 1393 880 1578 361 1478 1666 694 1121
## [859] 418 994 1652 1578 104 1454 269 163 1667 1345 433 432 73
## [872] 1516 144 1314 1348 388 1303 467 246 1334 634 391 65 1694
## [885] 1359 604 208 1131 1230 113 1335 376 1699 1030 193 305 1144
## [898] 1443 715 246 763 423 231 188 1077 779 425 1490 1564 1334
## [911] 1444 1688 394 750 1025 961 588 91 1059 1564 317 370 1034
## [924] 900 760 1692 1056 1139 1226 399 506 1205 630 1 67 691
## [937] 522 1432 1346 764 1030 1174 1687 37 904 1712 134 515 789
## [950] 195 220 1032 130 685 515 1453 1555 1424 408 1220 518 1672
## [963] 1441 77 225 1700 874 504 1260 1700 531 285 1520 1453 101
## [976] 1671 788 976 809 982 1557 410 1339 824 1586 932 627 733
## [989] 873 782 646 1359 254 1325 971 1644 728 982 1156 27 1471
## [1002] 450 57 785 843 845 1266 648 1520 308 903 493 864 1469
## [1015] 376 985 590 1431 233 884 1261 1236 431 1467 297 1654 1047
## [1028] 1326 353 299 1051 114 44 1064 188 53 1445 261 1432 556
## [1041] 567 1060 1512 216 233 670 1264 1688 953 714 261 1200 1409
## [1054] 1643 22 994 223 854 749 522 520 1357 231 1255 444 1548
## [1067] 125 1174 1108 321 1646 1659 192 1448 1213 1206 1462 1087 64
## [1080] 457 41 261 1119 1644 241 400 964 1013 493 232 591 1077
## [1093] 1233 1563 430 1373 1476 1126 1551 234 1583 693 4 1611 1250
## [1106] 297 1501 922 78 1382 710 805 726 1059 1284 1425 861 1322
## [1119] 297 507 1511 1497 1266 209 794 819 1245 1466 432 1170 203
## [1132] 1358 1318 1633 15 842 653 867 824 378 1515 832 83 1090
## [1145] 77 443 184 433 706 1512 76 1095 1664 304 1257 18 578
## [1158] 1002 209 1165 223 881 437 482 1147 561 691 1436 687 44
## [1171] 1257 576 951 997 210 1380 9 1656 170 1432 34 757 1310
## [1184] 87 1160 659 310 149 1709 1626 559 1260 1048 1231 308 174
## [1197] 160 387 1425 82 389 30 1294 1069 264 1684 43 1381 378
## [1210] 1238 1470 197 431 699 734 503 1213 1066 1521 1359 1463 188
## [1223] 336 909 406 700 681 96 102 1182 779 217 1572 863 1707
## [1236] 987 1047 1457 1366 387 1264 794 799 292 1450 130 756 1494
## [1249] 621 766 1294 255 439 286 368 583 940 1524 294 82 1688
## [1262] 1093 656 95 1569 229 158 639 556 1533 832 1677 1058 972
## [1275] 965 1086 253 1378 1289 1024 690 848 94 1683 908 1117 228
## [1288] 1215 672 1687 132 642 404 1661 689 972 59 604 1376 991
## [1301] 796 437 1082 50 250 246 1093 270 1203 573 1114 531 1659
## [1314] 1369 663 17 1592 7 683 453 214 836 644 618 1465 1073
## [1327] 45 109 36 640 1477 282 1291 1712 817 1469 1454 1064 326
## [1340] 850 1306 587 29 1166 1541 11 718 36 471 247 1148 1597
## [1353] 555 1474 1264 885 1087 1291 624 736 1369 1512 1493 862 1049
## [1366] 628 674 881 850 1052 1427 1021 1703 728 121 1684 1160 533
## [1379] 1221 1704 1703 995 1029 484 988 277 1582 53 1134 1478 1179
## [1392] 789 681 1467 361 1706 1708 839 244 722 453 1384 1315 658
## [1405] 691 247 930 373 439 909 1666 579 1509 108 812 1389 886
## [1418] 846 1547 1358 1507 454 1156 869 1425 896 943 248 1285 1455
## [1431] 828 896 1391 1244 1422 42 1291 1610 1131 24 1565 992 463
## [1444] 902 108 1011 90 1645 392 874 134 260 840 822 324 746
## [1457] 22 1179 1311 1563 550 45 686 733 906 1638 260 558 764
## [1470] 24 327 1342 226 1508 888 533 505 415 1137 1728 126 109
## [1483] 1496 48 825 1558 1425 939 1656 928 1557 596 394 577 991
## [1496] 578 1211 1648 988 579 477 1267 1493 820 181 1477 609 1203
## [1509] 1083 807 798 1384 1679 20 406 524 275 1244 1399 733 1565
## [1522] 1435 1339 486 270 960 508 1023 363 1581 797 1178 274 1622
## [1535] 1396 1726 377 1624 1199 529 10 663 794 667 740 731 1437
## [1548] 1573 1289 721 512 212 246 1021 1538 27 1398 90 1023 1366
## [1561] 1221 1052 1327 792 52 926 927 1132 1051 1720 176 775 203
## [1574] 945 1507 232 161 248 408 1208 1520 129 475 407 680 586
## [1587] 1603 245 191 1510 1214 584 874 1488 1182 911 1541 1055 666
## [1600] 600 847 1181 351 1166 654 822 848 226 588 589 658 1608
## [1613] 1372 1369 400 1211 1689 1030 138 1001 308 152 575 1485 947
## [1626] 675 1414 972 920 994 1460 447 1319 713 196 154 1399 1233
## [1639] 1026 238 602 1031 194 639 54 1319 1677 74 148 126 707
## [1652] 1023 302 382 1527 28 116 1277 1445 1243 720 683 189 421
## [1665] 594 168 791 532 1524 651 894 202 485 394 1307 1008 1344
## [1678] 83 431 737 1184 638 46 765 1631 478 1497 428 646 1671
## [1691] 847 548 372 326 1530 627 1007 519 873 1642 624 470 256
## [1704] 551 262 834 1256 1067 782 893 1145 1084 808 406 121 953
## [1717] 643 1630 227 408 792 390 1299 1 385 1677 145 1524
##
## $btree
## n= 1728
##
## node), split, n, loss, yval, (yprob)
## * denotes terminal node
##
## 1) root 1728 521 unacc (0.22627315 0.03703704 0.69849537 0.03819444)
## 2) safety=high,med 1154 521 unacc (0.33882149 0.05545927 0.54852686 0.05719237)
## 4) persons=4,more 783 392 acc (0.49936143 0.08173691 0.33461047 0.08429119)
## 8) buying=low,med 372 178 acc (0.52150538 0.17204301 0.12903226 0.17741935)
## 16) maint=high,vhigh 196 53 acc (0.72959184 0.00000000 0.19387755 0.07653061)
## 32) doors=3,4,5more 152 29 acc (0.80921053 0.00000000 0.11184211 0.07894737)
## 64) lug_boot=big,med 102 15 acc (0.85294118 0.00000000 0.02941176 0.11764706)
## 128) buying=med 55 1 acc (0.98181818 0.00000000 0.01818182 0.00000000)
## 256) doors=4,5more 34 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 257) doors=3 21 1 acc (0.95238095 0.00000000 0.04761905 0.00000000)
## 514) safety=high 14 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 515) safety=med 7 1 acc (0.85714286 0.00000000 0.14285714 0.00000000)
## 1030) lug_boot=big 5 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1031) lug_boot=med 2 1 acc (0.50000000 0.00000000 0.50000000 0.00000000)
## 2062) persons=more 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2063) persons=4 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 129) buying=low 47 14 acc (0.70212766 0.00000000 0.04255319 0.25531915)
## 258) safety=med 32 2 acc (0.93750000 0.00000000 0.06250000 0.00000000)
## 516) maint=high 19 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 517) maint=vhigh 13 2 acc (0.84615385 0.00000000 0.15384615 0.00000000)
## 1034) doors=4,5more 7 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1035) doors=3 6 2 acc (0.66666667 0.00000000 0.33333333 0.00000000)
## 2070) persons=more 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2071) persons=4 4 2 acc (0.50000000 0.00000000 0.50000000 0.00000000)
## 4142) lug_boot=big 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 4143) lug_boot=med 2 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 259) safety=high 15 3 vgood (0.20000000 0.00000000 0.00000000 0.80000000)
## 518) maint=vhigh 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 519) maint=high 12 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 65) lug_boot=small 50 14 acc (0.72000000 0.00000000 0.28000000 0.00000000)
## 130) safety=high 29 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 131) safety=med 21 7 unacc (0.33333333 0.00000000 0.66666667 0.00000000)
## 262) buying=low 10 3 acc (0.70000000 0.00000000 0.30000000 0.00000000)
## 524) maint=high 7 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 525) maint=vhigh 3 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 263) buying=med 11 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 33) doors=2 44 23 unacc (0.45454545 0.00000000 0.47727273 0.06818182)
## 66) lug_boot=big 15 3 acc (0.80000000 0.00000000 0.00000000 0.20000000)
## 132) maint=vhigh 7 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 133) maint=high 8 3 acc (0.62500000 0.00000000 0.00000000 0.37500000)
## 266) buying=med 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 267) buying=low 5 2 vgood (0.40000000 0.00000000 0.00000000 0.60000000)
## 534) safety=med 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 535) safety=high 3 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 67) lug_boot=med,small 29 8 unacc (0.27586207 0.00000000 0.72413793 0.00000000)
## 134) safety=high 12 6 acc (0.50000000 0.00000000 0.50000000 0.00000000)
## 268) lug_boot=med 5 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 269) lug_boot=small 7 1 unacc (0.14285714 0.00000000 0.85714286 0.00000000)
## 538) persons=4 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 539) persons=more 6 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 135) safety=med 17 2 unacc (0.11764706 0.00000000 0.88235294 0.00000000)
## 270) maint=high 6 2 unacc (0.33333333 0.00000000 0.66666667 0.00000000)
## 540) lug_boot=med 3 1 acc (0.66666667 0.00000000 0.33333333 0.00000000)
## 1080) buying=low 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1081) buying=med 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 541) lug_boot=small 3 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 271) maint=vhigh 11 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 17) maint=low,med 176 112 good (0.28977273 0.36363636 0.05681818 0.28977273)
## 34) safety=med 92 45 acc (0.51086957 0.42391304 0.06521739 0.00000000)
## 68) lug_boot=small 28 6 acc (0.78571429 0.00000000 0.21428571 0.00000000)
## 136) doors=3,4,5more 17 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 137) doors=2 11 5 unacc (0.45454545 0.00000000 0.54545455 0.00000000)
## 274) persons=4 5 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 275) persons=more 6 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 69) lug_boot=big,med 64 25 good (0.39062500 0.60937500 0.00000000 0.00000000)
## 138) buying=med 31 12 acc (0.61290323 0.38709677 0.00000000 0.00000000)
## 276) maint=med 15 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 277) maint=low 16 4 good (0.25000000 0.75000000 0.00000000 0.00000000)
## 554) lug_boot=med 9 4 good (0.44444444 0.55555556 0.00000000 0.00000000)
## 1108) doors=2,3 5 1 acc (0.80000000 0.20000000 0.00000000 0.00000000)
## 2216) doors=2 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2217) doors=3 3 1 acc (0.66666667 0.33333333 0.00000000 0.00000000)
## 4434) persons=4 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 4435) persons=more 1 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 1109) doors=4,5more 4 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 555) lug_boot=big 7 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 139) buying=low 33 6 good (0.18181818 0.81818182 0.00000000 0.00000000)
## 278) doors=2 7 3 acc (0.57142857 0.42857143 0.00000000 0.00000000)
## 556) lug_boot=med 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 557) lug_boot=big 3 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 279) doors=3,4,5more 26 2 good (0.07692308 0.92307692 0.00000000 0.00000000)
## 558) doors=3 8 2 good (0.25000000 0.75000000 0.00000000 0.00000000)
## 1116) lug_boot=med 3 1 acc (0.66666667 0.33333333 0.00000000 0.00000000)
## 2232) persons=4 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2233) persons=more 1 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 1117) lug_boot=big 5 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 559) doors=4,5more 18 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 35) safety=high 84 33 vgood (0.04761905 0.29761905 0.04761905 0.60714286)
## 70) lug_boot=small 22 7 good (0.13636364 0.68181818 0.18181818 0.00000000)
## 140) persons=4 14 1 good (0.07142857 0.92857143 0.00000000 0.00000000)
## 280) buying=med 2 1 acc (0.50000000 0.50000000 0.00000000 0.00000000)
## 560) maint=med 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 561) maint=low 1 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 281) buying=low 12 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 141) persons=more 8 4 unacc (0.25000000 0.25000000 0.50000000 0.00000000)
## 282) doors=3,5more 4 2 acc (0.50000000 0.50000000 0.00000000 0.00000000)
## 564) maint=med 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 565) maint=low 2 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 283) doors=2 4 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 71) lug_boot=big,med 62 11 vgood (0.01612903 0.16129032 0.00000000 0.82258065)
## 142) doors=2 15 7 good (0.06666667 0.53333333 0.00000000 0.40000000)
## 284) lug_boot=med 9 1 good (0.11111111 0.88888889 0.00000000 0.00000000)
## 568) buying=med 3 1 good (0.33333333 0.66666667 0.00000000 0.00000000)
## 1136) maint=med 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1137) maint=low 2 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 569) buying=low 6 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 285) lug_boot=big 6 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 143) doors=3,4,5more 47 2 vgood (0.00000000 0.04255319 0.00000000 0.95744681)
## 286) doors=3 17 2 vgood (0.00000000 0.11764706 0.00000000 0.88235294)
## 572) persons=4 7 2 vgood (0.00000000 0.28571429 0.00000000 0.71428571)
## 1144) lug_boot=med 2 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 1145) lug_boot=big 5 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 573) persons=more 10 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 287) doors=4,5more 30 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 9) buying=high,vhigh 411 197 unacc (0.47931873 0.00000000 0.52068127 0.00000000)
## 18) maint=low,med 211 51 acc (0.75829384 0.00000000 0.24170616 0.00000000)
## 36) lug_boot=big,med 135 7 acc (0.94814815 0.00000000 0.05185185 0.00000000)
## 72) lug_boot=big 81 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 73) lug_boot=med 54 7 acc (0.87037037 0.00000000 0.12962963 0.00000000)
## 146) safety=high 35 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 147) safety=med 19 7 acc (0.63157895 0.00000000 0.36842105 0.00000000)
## 294) doors=4,5more 10 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 295) doors=2,3 9 2 unacc (0.22222222 0.00000000 0.77777778 0.00000000)
## 590) persons=more 4 2 acc (0.50000000 0.00000000 0.50000000 0.00000000)
## 1180) doors=3 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1181) doors=2 2 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 591) persons=4 5 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 37) lug_boot=small 76 32 unacc (0.42105263 0.00000000 0.57894737 0.00000000)
## 74) safety=high 34 2 acc (0.94117647 0.00000000 0.05882353 0.00000000)
## 148) doors=3,4,5more 30 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 149) doors=2 4 2 acc (0.50000000 0.00000000 0.50000000 0.00000000)
## 298) buying=vhigh 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 299) buying=high 2 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 75) safety=med 42 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 19) maint=high,vhigh 200 37 unacc (0.18500000 0.00000000 0.81500000 0.00000000)
## 38) buying=high 97 37 unacc (0.38144330 0.00000000 0.61855670 0.00000000)
## 76) maint=high 50 13 acc (0.74000000 0.00000000 0.26000000 0.00000000)
## 152) lug_boot=big,med 30 2 acc (0.93333333 0.00000000 0.06666667 0.00000000)
## 304) safety=high 18 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 305) safety=med 12 2 acc (0.83333333 0.00000000 0.16666667 0.00000000)
## 610) doors=4,5more 7 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 611) doors=2,3 5 2 acc (0.60000000 0.00000000 0.40000000 0.00000000)
## 1222) persons=more 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1223) persons=4 3 1 unacc (0.33333333 0.00000000 0.66666667 0.00000000)
## 2446) lug_boot=big 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2447) lug_boot=med 2 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 153) lug_boot=small 20 9 unacc (0.45000000 0.00000000 0.55000000 0.00000000)
## 306) safety=high 12 3 acc (0.75000000 0.00000000 0.25000000 0.00000000)
## 612) doors=3,4,5more 8 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 613) doors=2 4 1 unacc (0.25000000 0.00000000 0.75000000 0.00000000)
## 1226) persons=4 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1227) persons=more 3 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 307) safety=med 8 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 77) maint=vhigh 47 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 39) buying=vhigh 103 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 5) persons=2 371 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 3) safety=low 574 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##
## attr(,"class")
## class
## "sclass"
##
## $mtrees[[17]]
## $bindx
## [1] 19 839 609 877 744 1454 762 313 67 457 139 1400 1416
## [14] 1702 1046 692 16 738 1297 458 1392 287 1039 71 724 28
## [27] 1300 1040 409 831 12 1680 1014 627 1401 1331 1079 802 1236
## [40] 1244 692 376 936 1132 1720 783 680 1325 16 955 865 1671
## [53] 252 236 404 1053 220 728 565 224 48 1287 941 626 1409
## [66] 111 1089 1540 757 357 1075 812 352 1125 221 1305 1124 71
## [79] 1716 190 404 1284 1595 185 194 576 1375 691 805 1065 901
## [92] 19 377 458 1189 1501 1237 152 393 493 953 1024 562 1670
## [105] 360 998 980 79 160 1533 1245 1589 13 1266 1159 909 1126
## [118] 1663 640 1320 11 48 268 646 918 1016 117 775 1350 1052
## [131] 1537 878 1705 562 14 1179 1484 287 654 452 612 1697 1057
## [144] 381 417 518 182 283 571 695 23 483 1233 444 507 747
## [157] 123 1341 1490 588 999 1325 487 523 223 1369 113 232 474
## [170] 441 1068 1628 1500 299 1098 488 614 1234 1043 1493 1321 195
## [183] 235 1628 954 1666 1485 345 904 1266 469 765 1717 304 835
## [196] 966 257 944 106 1666 1173 1473 929 1511 223 423 651 1473
## [209] 618 682 509 239 827 618 528 361 304 517 727 1623 724
## [222] 1272 823 254 1010 1702 143 1669 1236 1032 314 1352 884 80
## [235] 935 452 82 182 1704 1464 1065 815 1399 1509 17 778 383
## [248] 1160 521 31 1169 367 456 1268 1374 657 1072 212 1436 1088
## [261] 312 1025 1392 425 906 273 909 907 146 1530 778 560 1633
## [274] 938 1084 117 1535 1113 1717 1090 1485 716 382 501 497 793
## [287] 467 1567 358 1282 53 217 235 1599 349 494 303 1092 305
## [300] 196 940 1377 1226 5 392 1122 414 589 1726 707 335 1191
## [313] 1626 760 499 1074 7 1451 858 1245 19 993 1406 1174 501
## [326] 648 1350 205 1605 21 582 869 312 1083 1211 1 781 1652
## [339] 1132 1687 1557 906 270 425 1453 1581 572 47 947 304 1585
## [352] 169 1011 676 996 62 1663 1267 630 1348 99 722 1401 470
## [365] 1689 1112 1462 945 171 523 885 955 136 1120 1252 393 1716
## [378] 536 1491 741 1391 896 1178 1346 1350 702 1014 712 369 574
## [391] 175 1388 506 488 1576 863 1122 684 364 935 687 805 1548
## [404] 308 1003 735 611 434 905 1467 700 609 1179 490 1688 207
## [417] 682 613 1572 331 798 1562 240 544 1366 158 345 1201 1175
## [430] 1040 1115 324 1314 1380 500 691 879 816 909 625 553 50
## [443] 34 399 1041 1675 636 1632 781 337 1537 405 496 588 1633
## [456] 532 546 1489 277 480 1029 1240 350 1534 524 926 1065 782
## [469] 122 1453 1701 1075 1102 1083 673 1466 1427 807 1158 450 411
## [482] 125 1002 146 1255 532 1057 334 1664 771 662 182 68 81
## [495] 1481 823 304 1065 784 1709 425 1262 535 279 518 376 413
## [508] 1130 894 252 613 316 1011 67 236 1036 329 1248 74 459
## [521] 1517 1187 73 926 1355 158 691 495 1059 990 1455 768 310
## [534] 1227 1001 459 1675 1122 339 636 546 564 351 331 569 367
## [547] 359 955 248 1639 927 552 851 1573 14 1114 935 978 797
## [560] 737 41 1177 856 820 667 517 912 1486 1324 1703 1593 980
## [573] 683 391 494 416 187 125 89 715 1080 616 338 593 781
## [586] 551 1059 283 463 1244 566 831 1336 212 465 310 1186 54
## [599] 2 215 286 114 1434 126 127 170 634 1133 220 164 207
## [612] 289 591 1018 1108 1550 1352 5 842 1285 1340 1234 770 1322
## [625] 922 712 1549 1624 1150 313 1140 75 1717 1300 1195 24 29
## [638] 253 1313 137 1299 665 133 670 273 313 437 679 48 277
## [651] 1355 1562 1143 59 196 435 312 1728 1039 325 1221 1256 1041
## [664] 1074 48 1607 1550 1443 1012 417 1301 700 649 1707 1583 810
## [677] 548 331 1126 353 292 1524 1721 635 845 1333 1039 666 1175
## [690] 571 1055 675 1461 309 407 1676 1380 994 707 1720 187 1161
## [703] 995 764 731 1175 1381 1116 109 437 967 1574 274 352 1151
## [716] 1 406 1312 344 467 704 350 385 463 1479 478 1617 1149
## [729] 1067 563 1646 209 1444 158 1355 592 47 235 607 468 500
## [742] 1334 657 695 1458 271 390 1551 218 670 1038 392 1114 968
## [755] 214 650 1536 1398 502 719 691 1633 1524 37 1219 1485 1150
## [768] 401 766 726 1062 106 335 1149 1091 1221 322 582 719 778
## [781] 1455 516 304 1015 97 449 931 737 1133 492 438 1643 54
## [794] 1717 583 97 391 1231 280 825 215 1658 1327 826 1589 40
## [807] 1382 197 1062 1126 1672 490 901 1662 723 1368 258 1022 789
## [820] 623 208 380 282 658 461 215 1518 1283 468 573 528 377
## [833] 889 589 1213 1087 1486 404 820 58 704 211 1022 1014 989
## [846] 1154 965 1011 1175 1086 46 606 1243 99 1081 1551 1447 1331
## [859] 124 307 298 1455 310 1707 1636 627 4 1728 1390 1016 167
## [872] 561 181 1028 1008 1594 142 819 651 253 955 1632 1693 1727
## [885] 1101 1208 1131 1514 1687 1203 53 945 1382 740 96 520 709
## [898] 920 70 1023 1592 32 1662 785 746 168 61 914 230 657
## [911] 57 902 1538 425 1112 1171 106 580 1009 154 1448 550 179
## [924] 697 607 1546 1305 93 1672 577 909 1565 745 846 613 392
## [937] 1040 629 1476 995 383 1170 795 798 1148 352 76 114 874
## [950] 334 751 1407 1449 1303 788 149 339 811 329 875 1456 1366
## [963] 1050 1459 1720 992 1210 1578 1681 15 937 32 1008 254 935
## [976] 1169 1192 1113 1410 1084 1100 1350 424 1337 1094 1405 1419 1709
## [989] 69 1274 1014 573 788 220 1027 216 1504 398 1017 619 715
## [1002] 807 82 506 1116 296 575 1496 1571 1189 1593 1396 760 1403
## [1015] 1554 1407 1411 1430 1307 1236 345 18 1633 195 792 1356 490
## [1028] 135 1330 1684 206 1397 649 422 1665 1586 815 579 982 570
## [1041] 462 709 1704 1121 1135 1230 790 1031 743 1397 344 1055 42
## [1054] 1709 1469 816 1476 979 108 1616 1679 904 513 898 1676 314
## [1067] 681 925 1509 499 1519 880 42 1717 1448 510 1648 1362 773
## [1080] 1580 1473 1345 718 192 1427 1610 961 1360 1491 1336 627 1566
## [1093] 1200 1451 355 504 747 1260 1362 861 1030 1069 775 88 316
## [1106] 1105 1385 234 475 642 1493 1234 446 577 466 1703 22 473
## [1119] 101 1448 485 1722 53 1253 844 432 1333 384 1013 1023 1671
## [1132] 302 1457 567 1550 1192 1567 1300 621 324 1589 461 148 1056
## [1145] 875 1598 894 429 1232 67 538 1362 755 666 1490 658 1237
## [1158] 54 294 1070 1304 1480 973 991 852 1194 46 631 1515 1299
## [1171] 603 518 556 32 895 389 688 1213 1479 178 1489 608 854
## [1184] 40 778 1575 1709 681 143 813 120 687 606 1695 453 62
## [1197] 175 826 168 636 456 784 1535 543 890 491 1258 139 383
## [1210] 1691 776 1479 366 1589 885 1247 1423 1416 1174 1648 457 1624
## [1223] 948 111 753 1687 1590 553 147 575 1028 982 1713 1508 6
## [1236] 1351 1726 609 865 187 1649 769 216 1669 1728 578 1037 558
## [1249] 330 527 1719 215 623 188 415 106 838 949 1581 1407 137
## [1262] 715 955 1065 943 664 1308 994 1475 1038 883 477 1315 802
## [1275] 1245 572 1146 293 976 305 556 701 345 10 1248 1186 97
## [1288] 703 913 1286 1296 1693 921 1352 850 701 1037 1651 1119 893
## [1301] 1503 1498 742 1184 1538 1465 1347 1581 275 1454 102 1318 869
## [1314] 1676 166 1508 1198 1383 277 39 784 430 1581 1402 1209 815
## [1327] 427 1087 608 1635 940 292 5 849 542 1121 281 184 1177
## [1340] 397 631 416 589 1106 599 1135 1481 1405 228 92 630 850
## [1353] 65 550 672 27 681 1037 1211 1606 1066 830 458 709 1218
## [1366] 1523 610 388 62 1240 270 813 973 1545 1152 515 443 1515
## [1379] 618 1635 707 44 1633 971 888 667 1171 164 112 261 759
## [1392] 301 1681 1211 11 104 4 955 209 904 1341 731 836 489
## [1405] 385 328 1066 1126 927 896 1242 1571 983 1699 60 642 1406
## [1418] 1156 926 53 576 1191 1689 1200 660 641 1388 604 241 402
## [1431] 1482 852 247 1569 33 1360 1605 1062 624 414 1581 582 1613
## [1444] 81 1167 1606 464 1024 831 96 1649 63 1224 704 1488 15
## [1457] 1619 1552 1641 466 1378 1675 1182 166 1029 1671 1247 1081 898
## [1470] 1423 163 165 1156 65 232 1608 1494 18 93 762 832 219
## [1483] 30 422 272 1602 607 106 1081 388 18 517 1412 1652 1291
## [1496] 210 185 43 996 718 1069 855 1442 557 375 1398 413 1341
## [1509] 1245 50 607 871 359 1434 1617 282 1389 1213 235 1589 1298
## [1522] 405 877 1696 1021 258 958 1636 1343 924 1139 846 115 651
## [1535] 1251 1099 1578 356 1120 1340 16 266 166 592 1618 19 1462
## [1548] 11 1465 211 1619 1717 500 1168 292 1624 768 991 390 829
## [1561] 398 1369 659 1724 1539 238 1447 241 160 1175 1039 466 421
## [1574] 1197 1380 504 1672 1237 1225 424 1462 688 160 713 1603 462
## [1587] 324 175 1394 1391 1262 752 718 637 1374 330 1063 1266 983
## [1600] 916 667 556 1386 356 324 567 1184 1487 1042 1204 1013 516
## [1613] 1558 1433 1115 1340 1002 442 160 1052 1131 1230 474 1495 1690
## [1626] 964 1170 383 533 926 1202 109 828 1124 928 511 525 622
## [1639] 832 432 339 1227 370 883 895 1392 1162 511 75 1427 1723
## [1652] 1407 1303 696 1328 1533 189 818 1553 1622 1486 409 804 1700
## [1665] 938 52 964 452 874 344 1181 1105 1587 1452 413 422 701
## [1678] 363 1477 1264 133 1115 1501 814 1577 1398 676 611 850 700
## [1691] 33 1448 538 1147 264 1550 523 1367 556 1017 501 1476 1487
## [1704] 111 342 1223 880 666 88 511 405 788 78 1015 760 1222
## [1717] 1026 1095 418 1120 1540 827 643 223 1461 1441 10 1600
##
## $btree
## n= 1728
##
## node), split, n, loss, yval, (yprob)
## * denotes terminal node
##
## 1) root 1728 487 unacc (0.20717593 0.03587963 0.71817130 0.03877315)
## 2) safety=high,med 1095 487 unacc (0.32694064 0.05662100 0.55525114 0.06118721)
## 4) persons=4,more 716 358 acc (0.50000000 0.08659218 0.31983240 0.09357542)
## 8) buying=low,med 365 169 acc (0.53698630 0.16986301 0.10958904 0.18356164)
## 16) maint=high,vhigh 193 52 acc (0.73056995 0.00000000 0.17098446 0.09844560)
## 32) lug_boot=big,med 133 26 acc (0.80451128 0.00000000 0.05263158 0.14285714)
## 64) maint=vhigh 56 3 acc (0.94642857 0.00000000 0.05357143 0.00000000)
## 128) lug_boot=big 33 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 129) lug_boot=med 23 3 acc (0.86956522 0.00000000 0.13043478 0.00000000)
## 258) safety=high 13 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 259) safety=med 10 3 acc (0.70000000 0.00000000 0.30000000 0.00000000)
## 518) doors=4,5more 5 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 519) doors=2,3 5 2 unacc (0.40000000 0.00000000 0.60000000 0.00000000)
## 1038) persons=more 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1039) persons=4 3 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 65) maint=high 77 23 acc (0.70129870 0.00000000 0.05194805 0.24675325)
## 130) buying=med 39 4 acc (0.89743590 0.00000000 0.10256410 0.00000000)
## 260) safety=high 19 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 261) safety=med 20 4 acc (0.80000000 0.00000000 0.20000000 0.00000000)
## 522) lug_boot=big 10 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 523) lug_boot=med 10 4 acc (0.60000000 0.00000000 0.40000000 0.00000000)
## 1046) doors=4,5more 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1047) doors=2,3 6 2 unacc (0.33333333 0.00000000 0.66666667 0.00000000)
## 2094) doors=3 4 2 acc (0.50000000 0.00000000 0.50000000 0.00000000)
## 4188) persons=more 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 4189) persons=4 2 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 2095) doors=2 2 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 131) buying=low 38 19 acc (0.50000000 0.00000000 0.00000000 0.50000000)
## 262) safety=med 18 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 263) safety=high 20 1 vgood (0.05000000 0.00000000 0.00000000 0.95000000)
## 526) doors=2 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 527) doors=3,4,5more 19 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 33) lug_boot=small 60 26 acc (0.56666667 0.00000000 0.43333333 0.00000000)
## 66) safety=high 32 3 acc (0.90625000 0.00000000 0.09375000 0.00000000)
## 132) doors=3,4,5more 26 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 133) doors=2 6 3 acc (0.50000000 0.00000000 0.50000000 0.00000000)
## 266) buying=low 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 267) buying=med 3 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 67) safety=med 28 5 unacc (0.17857143 0.00000000 0.82142857 0.00000000)
## 134) buying=low 12 5 unacc (0.41666667 0.00000000 0.58333333 0.00000000)
## 268) maint=high 5 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 269) maint=vhigh 7 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 135) buying=med 16 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 17) maint=low,med 172 110 good (0.31976744 0.36046512 0.04069767 0.27906977)
## 34) safety=med 80 34 acc (0.57500000 0.40000000 0.02500000 0.00000000)
## 68) buying=med 39 7 acc (0.82051282 0.12820513 0.05128205 0.00000000)
## 136) maint=med 25 1 acc (0.96000000 0.00000000 0.04000000 0.00000000)
## 272) doors=3,4,5more 21 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 273) doors=2 4 1 acc (0.75000000 0.00000000 0.25000000 0.00000000)
## 546) persons=4 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 547) persons=more 2 1 acc (0.50000000 0.00000000 0.50000000 0.00000000)
## 1094) lug_boot=big 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1095) lug_boot=small 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 137) maint=low 14 6 acc (0.57142857 0.35714286 0.07142857 0.00000000)
## 274) lug_boot=med,small 11 3 acc (0.72727273 0.18181818 0.09090909 0.00000000)
## 548) doors=2,3,4 10 2 acc (0.80000000 0.10000000 0.10000000 0.00000000)
## 1096) doors=4 4 1 acc (0.75000000 0.25000000 0.00000000 0.00000000)
## 2192) lug_boot=small 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2193) lug_boot=med 1 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 1097) doors=2,3 6 1 acc (0.83333333 0.00000000 0.16666667 0.00000000)
## 2194) lug_boot=med 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2195) lug_boot=small 2 1 acc (0.50000000 0.00000000 0.50000000 0.00000000)
## 4390) doors=3 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 4391) doors=2 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 549) doors=5more 1 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 275) lug_boot=big 3 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 69) buying=low 41 14 good (0.34146341 0.65853659 0.00000000 0.00000000)
## 138) lug_boot=small 10 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 139) lug_boot=big,med 31 4 good (0.12903226 0.87096774 0.00000000 0.00000000)
## 278) doors=2 6 3 acc (0.50000000 0.50000000 0.00000000 0.00000000)
## 556) lug_boot=med 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 557) lug_boot=big 3 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 279) doors=3,4,5more 25 1 good (0.04000000 0.96000000 0.00000000 0.00000000)
## 558) doors=3 6 1 good (0.16666667 0.83333333 0.00000000 0.00000000)
## 1116) persons=4 2 1 acc (0.50000000 0.50000000 0.00000000 0.00000000)
## 2232) maint=med 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2233) maint=low 1 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 1117) persons=more 4 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 559) doors=4,5more 19 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 35) safety=high 92 44 vgood (0.09782609 0.32608696 0.05434783 0.52173913)
## 70) lug_boot=small 31 10 good (0.16129032 0.67741935 0.16129032 0.00000000)
## 140) persons=4 19 4 good (0.21052632 0.78947368 0.00000000 0.00000000)
## 280) buying=med 8 4 acc (0.50000000 0.50000000 0.00000000 0.00000000)
## 560) maint=med 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 561) maint=low 4 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 281) buying=low 11 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 141) persons=more 12 6 good (0.08333333 0.50000000 0.41666667 0.00000000)
## 282) doors=3,4,5more 7 1 good (0.14285714 0.85714286 0.00000000 0.00000000)
## 564) doors=5more 2 1 acc (0.50000000 0.50000000 0.00000000 0.00000000)
## 1128) buying=med 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1129) buying=low 1 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 565) doors=3,4 5 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 283) doors=2 5 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 71) lug_boot=big,med 61 13 vgood (0.06557377 0.14754098 0.00000000 0.78688525)
## 142) doors=2,3 27 13 vgood (0.14814815 0.33333333 0.00000000 0.51851852)
## 284) lug_boot=med 18 9 good (0.22222222 0.50000000 0.00000000 0.27777778)
## 568) persons=4 12 4 good (0.33333333 0.66666667 0.00000000 0.00000000)
## 1136) maint=med 5 1 acc (0.80000000 0.20000000 0.00000000 0.00000000)
## 2272) buying=med 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2273) buying=low 1 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 1137) maint=low 7 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 569) persons=more 6 1 vgood (0.00000000 0.16666667 0.00000000 0.83333333)
## 1138) doors=2 1 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 1139) doors=3 5 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 285) lug_boot=big 9 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 143) doors=4,5more 34 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 9) buying=high,vhigh 351 162 unacc (0.46153846 0.00000000 0.53846154 0.00000000)
## 18) maint=high,low,med 245 83 acc (0.66122449 0.00000000 0.33877551 0.00000000)
## 36) safety=high 127 16 acc (0.87401575 0.00000000 0.12598425 0.00000000)
## 72) buying=high 68 1 acc (0.98529412 0.00000000 0.01470588 0.00000000)
## 144) doors=3,4,5more 52 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 145) doors=2 16 1 acc (0.93750000 0.00000000 0.06250000 0.00000000)
## 290) lug_boot=big,med 11 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 291) lug_boot=small 5 1 acc (0.80000000 0.00000000 0.20000000 0.00000000)
## 582) persons=4 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 583) persons=more 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 73) buying=vhigh 59 15 acc (0.74576271 0.00000000 0.25423729 0.00000000)
## 146) maint=low,med 48 4 acc (0.91666667 0.00000000 0.08333333 0.00000000)
## 292) doors=3,4,5more 36 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 293) doors=2 12 4 acc (0.66666667 0.00000000 0.33333333 0.00000000)
## 586) lug_boot=big,med 7 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 587) lug_boot=small 5 1 unacc (0.20000000 0.00000000 0.80000000 0.00000000)
## 1174) maint=med 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1175) maint=low 4 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 147) maint=high 11 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 37) safety=med 118 51 unacc (0.43220339 0.00000000 0.56779661 0.00000000)
## 74) lug_boot=big,med 78 27 acc (0.65384615 0.00000000 0.34615385 0.00000000)
## 148) maint=low,med 50 7 acc (0.86000000 0.00000000 0.14000000 0.00000000)
## 296) lug_boot=big 33 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 297) lug_boot=med 17 7 acc (0.58823529 0.00000000 0.41176471 0.00000000)
## 594) doors=4,5more 9 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 595) doors=2,3 8 1 unacc (0.12500000 0.00000000 0.87500000 0.00000000)
## 1190) persons=more 2 1 acc (0.50000000 0.00000000 0.50000000 0.00000000)
## 2380) doors=3 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2381) doors=2 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 1191) persons=4 6 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 149) maint=high 28 8 unacc (0.28571429 0.00000000 0.71428571 0.00000000)
## 298) buying=high 9 1 acc (0.88888889 0.00000000 0.11111111 0.00000000)
## 596) persons=4 6 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 597) persons=more 3 1 acc (0.66666667 0.00000000 0.33333333 0.00000000)
## 1194) lug_boot=big 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1195) lug_boot=med 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 299) buying=vhigh 19 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 75) lug_boot=small 40 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 19) maint=vhigh 106 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 5) persons=2 379 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 3) safety=low 633 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##
## attr(,"class")
## class
## "sclass"
##
## $mtrees[[18]]
## $bindx
## [1] 1558 493 959 105 826 1677 164 667 466 1497 657 1118 384
## [14] 1717 665 1420 1045 36 1627 1708 1338 1719 324 660 1285 119
## [27] 27 309 269 1715 1221 1334 1217 404 1018 1493 19 1513 744
## [40] 1214 1344 163 487 632 1143 1134 842 1178 740 471 1509 1342
## [53] 650 1291 751 1583 1350 1076 262 193 920 1360 1491 879 1379
## [66] 1692 1133 366 835 467 932 1390 511 1527 872 1532 582 1263
## [79] 969 1553 64 1222 1101 1381 491 1433 1015 807 865 543 745
## [92] 245 200 988 589 308 495 1282 1155 171 695 427 1052 283
## [105] 454 679 1437 886 647 1339 216 1310 1530 1257 644 693 283
## [118] 469 275 317 1647 1354 1297 422 1545 229 359 1339 413 1265
## [131] 1167 840 1433 91 1045 1226 1556 701 1663 504 1330 1337 145
## [144] 404 1201 1046 1375 1669 784 1704 161 175 250 413 92 694
## [157] 484 1707 981 1696 1064 847 183 618 236 49 1010 579 128
## [170] 1133 1568 306 1549 1569 552 480 1585 15 759 359 815 91
## [183] 1311 147 983 1624 366 1214 1151 1127 215 762 765 948 341
## [196] 1471 1013 1481 118 38 1557 1223 379 386 499 1219 47 806
## [209] 699 1610 1027 884 1148 1240 1585 412 76 1349 382 1553 1394
## [222] 325 580 247 324 473 893 1423 535 1317 1316 238 1047 1624
## [235] 1074 526 1551 465 1180 246 753 37 1334 1027 1507 161 451
## [248] 23 1193 417 1007 117 935 547 962 125 1196 1578 1206 671
## [261] 1689 306 1470 204 602 1195 691 1576 1236 1556 419 97 517
## [274] 85 260 366 1138 447 1285 1119 643 1168 944 336 1126 967
## [287] 1466 1312 453 272 128 233 1405 1511 1633 609 1316 394 300
## [300] 903 1427 828 171 1716 603 798 489 1 542 1304 611 443
## [313] 919 567 1646 143 1636 1506 779 256 825 1019 673 1551 1441
## [326] 1557 1125 1210 758 813 1466 492 547 537 1279 1493 1144 1597
## [339] 1638 638 54 1587 1384 827 883 633 107 691 698 931 1430
## [352] 1331 558 919 1397 978 1149 326 1603 453 994 1618 384 1348
## [365] 1092 1451 595 1020 380 168 878 169 522 776 813 1713 1714
## [378] 1414 519 893 770 1018 936 1432 256 794 1450 957 983 686
## [391] 1018 657 1506 732 298 1461 390 1681 660 1483 1625 1658 1525
## [404] 43 745 342 227 1224 71 1527 1617 1461 879 26 1623 577
## [417] 1028 74 704 867 1014 373 197 287 1646 1065 246 277 1003
## [430] 1285 1047 778 225 1184 539 1560 1689 1327 176 1039 1509 1671
## [443] 1297 1509 1294 876 1188 155 279 757 1246 1179 1325 471 541
## [456] 68 1460 996 1113 650 1427 726 1357 1710 983 180 1042 293
## [469] 530 1209 721 1278 879 1641 11 656 78 1401 664 986 859
## [482] 519 1139 452 787 249 812 1417 506 923 287 826 133 1365
## [495] 1586 1415 1561 1161 1686 1309 1129 809 512 734 898 1404 474
## [508] 861 1703 1654 644 1658 49 1681 505 1226 886 97 1699 798
## [521] 524 1358 1505 1511 1614 688 1037 853 101 996 1000 1688 345
## [534] 948 1099 805 27 543 667 952 488 399 1670 1364 1640 130
## [547] 1398 647 314 1685 704 713 399 1101 578 305 1342 577 1225
## [560] 1578 1204 1267 1690 72 860 23 1418 1446 1480 1065 1404 726
## [573] 1325 888 49 1070 1349 916 883 1206 371 1251 198 537 1630
## [586] 523 914 837 1160 1179 382 809 965 204 1256 509 604 1340
## [599] 22 857 744 1222 695 131 565 1216 294 1613 615 1562 860
## [612] 1565 1467 1618 338 973 538 951 1526 1194 639 363 1699 785
## [625] 485 1497 504 533 1724 1604 1279 1720 290 390 926 197 36
## [638] 1518 1653 1146 1625 112 776 12 153 846 858 974 466 356
## [651] 1621 1670 880 18 712 725 783 1699 906 291 1048 322 500
## [664] 215 1321 625 392 1233 677 83 1104 966 1409 1649 1193 1701
## [677] 864 390 562 1293 1363 1376 261 299 667 540 593 737 1648
## [690] 995 1235 88 1482 1164 1032 247 436 1219 1579 1408 454 1709
## [703] 1378 601 420 90 757 182 1253 1435 1143 1523 1357 1610 298
## [716] 81 178 264 1340 1525 304 513 1382 1335 90 1088 1152 1503
## [729] 577 927 833 735 1371 1199 954 1631 1455 1716 726 1601 1332
## [742] 1636 1285 710 717 1510 402 1484 984 1094 1302 273 1558 640
## [755] 1211 427 1646 1610 1688 1168 185 510 1388 1021 519 613 129
## [768] 1318 1581 766 639 1484 1463 657 707 745 1431 777 1169 351
## [781] 200 1086 865 1093 982 734 66 1266 1214 15 904 466 1421
## [794] 155 558 1193 362 436 1638 1334 1625 290 189 149 1365 174
## [807] 1468 167 1116 1603 1075 997 322 1552 608 187 227 1519 1127
## [820] 208 1168 151 884 831 871 1726 1262 930 383 1543 293 665
## [833] 391 265 1435 1176 503 708 344 625 295 815 534 810 1439
## [846] 1296 1356 1533 887 856 1605 923 612 9 1372 1451 78 1236
## [859] 1629 544 1295 289 15 1539 575 979 1062 682 1535 1224 1486
## [872] 176 1180 642 1438 334 1177 1590 727 1184 466 40 704 1396
## [885] 1715 86 595 1530 568 1251 879 858 671 1089 1425 508 1625
## [898] 1585 491 827 748 489 910 774 711 1284 1255 26 1573 1007
## [911] 247 1182 1663 295 24 885 1437 104 420 249 1699 689 794
## [924] 511 1121 1576 1507 1555 588 1172 971 239 799 113 1062 1278
## [937] 855 827 1620 264 1457 1718 1387 837 451 286 955 384 412
## [950] 655 986 21 682 749 227 1538 701 1382 370 1247 218 285
## [963] 440 1177 554 911 31 938 488 1146 845 468 1373 1518 637
## [976] 559 59 107 329 956 545 666 971 898 1488 346 64 1631
## [989] 818 476 532 368 1317 1245 461 519 37 27 71 6 38
## [1002] 501 1498 1590 287 54 1387 1703 1487 1493 1377 872 1089 1426
## [1015] 570 1052 111 4 1650 1394 105 354 1269 1189 103 401 498
## [1028] 1266 619 1725 699 152 963 1100 1396 82 337 107 726 1503
## [1041] 530 470 789 1378 1016 948 32 336 1195 1709 1224 1610 455
## [1054] 834 1456 42 1261 350 1615 1181 631 5 1335 1321 1542 206
## [1067] 3 418 1103 1060 1468 1484 944 841 1177 1517 1703 116 408
## [1080] 211 1452 215 739 200 808 1626 522 1016 255 261 784 1652
## [1093] 182 43 119 1326 81 1604 925 1260 1513 764 561 1222 519
## [1106] 726 333 630 1097 146 907 978 860 739 335 1256 1238 597
## [1119] 836 910 1334 124 482 669 1174 1254 770 1427 885 1042 999
## [1132] 197 1452 451 1034 978 818 1247 774 1710 1039 1395 156 1722
## [1145] 642 486 1630 1119 53 1432 1621 102 1725 220 1502 201 119
## [1158] 315 237 1376 551 1569 90 1468 162 1702 521 879 1455 479
## [1171] 27 555 891 154 761 1419 1129 1049 162 971 1570 1727 723
## [1184] 795 1084 517 1499 758 1662 489 38 1286 150 632 1234 574
## [1197] 806 1661 940 747 1056 302 1577 407 889 85 338 1045 955
## [1210] 1098 1658 1689 113 1054 133 1031 1304 807 874 678 1555 99
## [1223] 445 59 862 1377 644 115 1255 452 494 594 1098 46 1600
## [1236] 652 1011 793 940 1679 1276 329 128 1242 1266 1164 1557 323
## [1249] 1326 1045 1547 333 592 739 449 709 525 501 1612 1702 957
## [1262] 800 1555 1328 725 1034 1158 1632 1427 1570 192 802 353 663
## [1275] 1346 724 314 1724 1227 345 436 1442 964 54 102 173 732
## [1288] 380 599 323 164 1371 1018 1595 954 1018 477 1151 151 99
## [1301] 649 814 1346 1090 1520 12 1511 1610 295 1314 342 1622 1045
## [1314] 1260 70 359 1475 1289 963 274 1524 392 85 844 1274 884
## [1327] 1711 1242 1316 1005 115 1214 716 1509 73 1445 1241 1382 1045
## [1340] 1662 413 377 672 193 1159 852 1315 1108 931 115 1553 1651
## [1353] 1422 1261 1319 1200 42 1162 1160 1260 159 329 153 1279 684
## [1366] 1312 905 1587 1067 125 1219 384 1641 185 313 102 42 1157
## [1379] 1437 607 856 172 1272 581 1212 1693 1045 1500 573 615 1023
## [1392] 1187 479 921 205 94 595 418 1105 1661 1371 1129 1286 816
## [1405] 705 1690 59 1052 1712 1488 1675 239 819 12 1411 123 902
## [1418] 1532 238 12 281 1385 816 758 667 856 1472 1706 476 278
## [1431] 682 357 75 36 1381 1336 1330 1625 729 66 138 406 944
## [1444] 830 684 686 245 1665 380 800 538 1514 1226 675 1180 1563
## [1457] 741 550 252 36 9 1109 1567 660 602 1598 100 1320 813
## [1470] 303 118 716 836 774 549 1297 1340 1313 745 900 1310 488
## [1483] 1021 277 124 424 179 851 746 1529 1248 601 485 779 72
## [1496] 363 179 105 994 1357 1469 997 1134 689 628 1319 1641 1354
## [1509] 3 1682 340 960 1599 240 852 757 937 1627 786 1533 370
## [1522] 1251 1273 416 1715 1390 1313 923 566 648 704 267 105 1227
## [1535] 209 1045 430 1708 1165 425 1581 438 1215 703 392 1711 925
## [1548] 1184 605 807 1581 1154 697 1695 822 491 1476 716 375 1079
## [1561] 1713 389 514 191 220 1189 334 182 1065 136 1577 1366 1131
## [1574] 862 1052 14 109 694 292 1336 705 1599 1053 416 647 1417
## [1587] 1532 111 355 597 1176 1 60 876 1358 1640 650 18 1727
## [1600] 988 459 1509 489 42 1566 916 1043 791 948 1541 1420 884
## [1613] 1030 978 1061 1077 1126 1213 196 589 341 547 1199 1636 595
## [1626] 898 1621 1404 1047 611 1214 1650 510 1312 1726 973 804 970
## [1639] 424 1308 54 1658 252 1260 1350 184 997 315 928 432 1548
## [1652] 1535 629 181 683 923 1605 987 1050 739 1501 550 1407 221
## [1665] 91 1205 321 906 53 1264 548 805 178 1229 1075 1500 1029
## [1678] 449 1217 1343 210 814 1485 419 185 1373 888 385 1470 1512
## [1691] 962 1166 1334 1280 1109 1106 439 14 795 535 310 405 301
## [1704] 1503 1019 589 869 1346 1186 1327 1335 585 311 632 1532 528
## [1717] 1546 378 937 1342 1700 906 1379 841 602 1498 955 368
##
## $btree
## n= 1728
##
## node), split, n, loss, yval, (yprob)
## * denotes terminal node
##
## 1) root 1728 539 unacc (0.22395833 0.04108796 0.68807870 0.04687500)
## 2) safety=high,med 1179 539 unacc (0.32824427 0.06022053 0.54283291 0.06870229)
## 4) persons=4,more 823 436 acc (0.47023086 0.08626974 0.34507898 0.09842041)
## 8) buying=low,med 423 213 acc (0.49645390 0.16784870 0.14420804 0.19148936)
## 16) maint=high,vhigh 207 64 acc (0.69082126 0.00000000 0.22222222 0.08695652)
## 32) lug_boot=big,med 133 30 acc (0.77443609 0.00000000 0.09022556 0.13533835)
## 64) safety=med 73 12 acc (0.83561644 0.00000000 0.16438356 0.00000000)
## 128) doors=3,4,5more 55 3 acc (0.94545455 0.00000000 0.05454545 0.00000000)
## 256) doors=4,5more 39 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 257) doors=3 16 3 acc (0.81250000 0.00000000 0.18750000 0.00000000)
## 514) lug_boot=big 8 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 515) lug_boot=med 8 3 acc (0.62500000 0.00000000 0.37500000 0.00000000)
## 1030) persons=more 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1031) persons=4 4 1 unacc (0.25000000 0.00000000 0.75000000 0.00000000)
## 2062) buying=low 2 1 acc (0.50000000 0.00000000 0.50000000 0.00000000)
## 4124) maint=high 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 4125) maint=vhigh 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 2063) buying=med 2 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 129) doors=2 18 9 acc (0.50000000 0.00000000 0.50000000 0.00000000)
## 258) buying=low 13 4 acc (0.69230769 0.00000000 0.30769231 0.00000000)
## 516) maint=high 7 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 517) maint=vhigh 6 2 unacc (0.33333333 0.00000000 0.66666667 0.00000000)
## 1034) lug_boot=big 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1035) lug_boot=med 4 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 259) buying=med 5 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 65) safety=high 60 18 acc (0.70000000 0.00000000 0.00000000 0.30000000)
## 130) maint=vhigh 31 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 131) maint=high 29 11 vgood (0.37931034 0.00000000 0.00000000 0.62068966)
## 262) buying=med 9 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 263) buying=low 20 2 vgood (0.10000000 0.00000000 0.00000000 0.90000000)
## 526) doors=2,3 6 2 vgood (0.33333333 0.00000000 0.00000000 0.66666667)
## 1052) persons=4 3 1 acc (0.66666667 0.00000000 0.00000000 0.33333333)
## 2104) lug_boot=med 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2105) lug_boot=big 1 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 1053) persons=more 3 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 527) doors=4,5more 14 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 33) lug_boot=small 74 34 acc (0.54054054 0.00000000 0.45945946 0.00000000)
## 66) safety=high 39 5 acc (0.87179487 0.00000000 0.12820513 0.00000000)
## 132) doors=3,4,5more 30 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 133) doors=2 9 4 unacc (0.44444444 0.00000000 0.55555556 0.00000000)
## 266) persons=4 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 267) persons=more 5 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 67) safety=med 35 6 unacc (0.17142857 0.00000000 0.82857143 0.00000000)
## 134) maint=high 15 6 unacc (0.40000000 0.00000000 0.60000000 0.00000000)
## 268) buying=low 6 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 269) buying=med 9 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 135) maint=vhigh 20 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 17) maint=low,med 216 145 good (0.31018519 0.32870370 0.06944444 0.29166667)
## 34) safety=med 108 49 acc (0.54629630 0.38888889 0.06481481 0.00000000)
## 68) lug_boot=small 38 7 acc (0.81578947 0.00000000 0.18421053 0.00000000)
## 136) doors=3,4,5more 26 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 137) doors=2 12 5 unacc (0.41666667 0.00000000 0.58333333 0.00000000)
## 274) persons=4 5 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 275) persons=more 7 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 69) lug_boot=big,med 70 28 good (0.40000000 0.60000000 0.00000000 0.00000000)
## 138) maint=med 36 12 acc (0.66666667 0.33333333 0.00000000 0.00000000)
## 276) buying=med 18 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 277) buying=low 18 6 good (0.33333333 0.66666667 0.00000000 0.00000000)
## 554) lug_boot=med 7 1 acc (0.85714286 0.14285714 0.00000000 0.00000000)
## 1108) persons=4 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1109) persons=more 3 1 acc (0.66666667 0.33333333 0.00000000 0.00000000)
## 2218) doors=2 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2219) doors=3 1 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 555) lug_boot=big 11 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 139) maint=low 34 4 good (0.11764706 0.88235294 0.00000000 0.00000000)
## 278) doors=3 7 3 good (0.42857143 0.57142857 0.00000000 0.00000000)
## 556) persons=4 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 557) persons=more 4 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 279) doors=2,4,5more 27 1 good (0.03703704 0.96296296 0.00000000 0.00000000)
## 558) doors=2 10 1 good (0.10000000 0.90000000 0.00000000 0.00000000)
## 1116) lug_boot=med 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1117) lug_boot=big 9 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 559) doors=4,5more 17 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 35) safety=high 108 45 vgood (0.07407407 0.26851852 0.07407407 0.58333333)
## 70) lug_boot=small 39 15 good (0.17948718 0.61538462 0.20512821 0.00000000)
## 140) doors=3,4,5more 27 6 good (0.22222222 0.77777778 0.00000000 0.00000000)
## 280) buying=med 12 6 acc (0.50000000 0.50000000 0.00000000 0.00000000)
## 560) maint=med 6 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 561) maint=low 6 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 281) buying=low 15 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 141) doors=2 12 4 unacc (0.08333333 0.25000000 0.66666667 0.00000000)
## 282) persons=4 4 1 good (0.25000000 0.75000000 0.00000000 0.00000000)
## 564) buying=med 2 1 acc (0.50000000 0.50000000 0.00000000 0.00000000)
## 1128) maint=med 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1129) maint=low 1 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 565) buying=low 2 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 283) persons=more 8 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 71) lug_boot=big,med 69 6 vgood (0.01449275 0.07246377 0.00000000 0.91304348)
## 142) doors=2,3 31 6 vgood (0.03225806 0.16129032 0.00000000 0.80645161)
## 284) lug_boot=med 9 4 good (0.11111111 0.55555556 0.00000000 0.33333333)
## 568) persons=4 4 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 569) persons=more 5 2 vgood (0.20000000 0.20000000 0.00000000 0.60000000)
## 1138) doors=2 2 1 acc (0.50000000 0.50000000 0.00000000 0.00000000)
## 2276) maint=med 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2277) maint=low 1 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 1139) doors=3 3 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 285) lug_boot=big 22 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 143) doors=4,5more 38 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 9) buying=high,vhigh 400 177 unacc (0.44250000 0.00000000 0.55750000 0.00000000)
## 18) maint=low,med 191 47 acc (0.75392670 0.00000000 0.24607330 0.00000000)
## 36) lug_boot=big,med 129 12 acc (0.90697674 0.00000000 0.09302326 0.00000000)
## 72) doors=3,4,5more 101 2 acc (0.98019802 0.00000000 0.01980198 0.00000000)
## 144) doors=4,5more 68 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 145) doors=3 33 2 acc (0.93939394 0.00000000 0.06060606 0.00000000)
## 290) maint=low 20 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 291) maint=med 13 2 acc (0.84615385 0.00000000 0.15384615 0.00000000)
## 582) persons=more 7 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 583) persons=4 6 2 acc (0.66666667 0.00000000 0.33333333 0.00000000)
## 1166) lug_boot=big 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1167) lug_boot=med 2 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 73) doors=2 28 10 acc (0.64285714 0.00000000 0.35714286 0.00000000)
## 146) lug_boot=big 15 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 147) lug_boot=med 13 3 unacc (0.23076923 0.00000000 0.76923077 0.00000000)
## 294) safety=high 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 295) safety=med 10 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 37) lug_boot=small 62 27 unacc (0.43548387 0.00000000 0.56451613 0.00000000)
## 74) safety=high 32 5 acc (0.84375000 0.00000000 0.15625000 0.00000000)
## 148) doors=3,4,5more 22 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 149) doors=2 10 5 acc (0.50000000 0.00000000 0.50000000 0.00000000)
## 298) persons=4 5 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 299) persons=more 5 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 75) safety=med 30 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 19) maint=high,vhigh 209 33 unacc (0.15789474 0.00000000 0.84210526 0.00000000)
## 38) buying=high 91 33 unacc (0.36263736 0.00000000 0.63736264 0.00000000)
## 76) maint=high 42 9 acc (0.78571429 0.00000000 0.21428571 0.00000000)
## 152) lug_boot=big,med 27 2 acc (0.92592593 0.00000000 0.07407407 0.00000000)
## 304) lug_boot=big 17 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 305) lug_boot=med 10 2 acc (0.80000000 0.00000000 0.20000000 0.00000000)
## 610) doors=4,5more 6 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 611) doors=2,3 4 2 acc (0.50000000 0.00000000 0.50000000 0.00000000)
## 1222) safety=high 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1223) safety=med 2 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 153) lug_boot=small 15 7 acc (0.53333333 0.00000000 0.46666667 0.00000000)
## 306) safety=high 9 1 acc (0.88888889 0.00000000 0.11111111 0.00000000)
## 612) doors=3,4,5more 7 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 613) doors=2 2 1 acc (0.50000000 0.00000000 0.50000000 0.00000000)
## 1226) persons=4 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1227) persons=more 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 307) safety=med 6 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 77) maint=vhigh 49 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 39) buying=vhigh 118 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 5) persons=2 356 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 3) safety=low 549 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##
## attr(,"class")
## class
## "sclass"
##
## $mtrees[[19]]
## $bindx
## [1] 907 473 1141 78 870 1415 1272 1184 581 218 1706 1270 252
## [14] 1292 147 1697 559 1556 1208 1630 364 691 1535 1418 8 1030
## [27] 1679 949 886 1613 62 952 367 661 1392 1686 1723 608 36
## [40] 1133 1447 1039 1017 1065 419 385 716 888 740 1675 268 1033
## [53] 83 1258 534 262 123 1431 386 104 1524 1388 1165 1250 248
## [66] 1072 1120 1611 541 519 186 385 1668 1344 965 441 1645 823
## [79] 1287 226 794 1724 1031 1325 394 626 7 399 1479 1356 348
## [92] 80 186 315 389 756 734 1251 422 367 579 95 1000 588
## [105] 1585 1637 1066 690 1602 97 805 149 344 795 1454 1303 459
## [118] 854 844 897 748 1413 12 1275 386 1639 1630 133 1121 166
## [131] 644 14 1659 1202 90 1487 1178 1385 1077 331 1415 289 1188
## [144] 385 1583 1605 81 1358 1380 316 1399 933 29 1007 346 932
## [157] 1124 1090 1350 367 208 1056 218 1255 482 107 1345 403 513
## [170] 1287 1683 1589 519 1386 1043 1667 1441 680 789 256 293 198
## [183] 1092 187 385 1597 341 346 1548 202 1291 483 1676 787 1023
## [196] 1203 897 779 734 1486 251 313 1020 558 154 49 352 487
## [209] 1079 1543 1364 1348 1203 645 1032 56 468 1573 343 1547 1002
## [222] 1424 1328 874 590 1582 642 358 641 368 102 1472 174 932
## [235] 778 916 235 9 429 631 1378 24 1635 665 1260 1530 544
## [248] 807 503 1082 168 1032 1432 966 891 1629 636 295 523 825
## [261] 1621 552 1301 1190 375 1006 1277 656 1659 1714 819 101 478
## [274] 1565 164 1658 1713 1394 898 1117 285 178 662 1220 1114 331
## [287] 915 877 1168 1508 293 1490 583 653 1010 353 624 483 1589
## [300] 1123 588 1168 1507 1680 1410 816 771 901 854 134 1441 1434
## [313] 1067 935 292 155 503 385 1082 1528 906 468 1657 227 1141
## [326] 1312 705 91 64 561 1060 985 787 833 194 387 342 811
## [339] 185 1328 279 1109 48 1679 728 656 530 629 1664 9 1403
## [352] 1286 111 578 761 1647 1081 71 1098 1593 272 1363 460 917
## [365] 158 999 1351 402 4 1294 1453 904 130 1688 458 78 232
## [378] 392 540 158 1526 891 450 1160 1357 419 1512 1698 940 1415
## [391] 38 141 1503 1096 1494 189 823 759 650 453 792 1524 1714
## [404] 294 290 22 1108 288 96 850 141 1072 164 873 1576 304
## [417] 1035 189 1073 1373 690 607 769 688 1190 1644 1690 823 912
## [430] 92 614 710 301 1221 461 607 1576 1511 1297 211 1583 478
## [443] 707 325 1561 64 1261 874 1482 367 1105 780 1652 1200 1510
## [456] 809 886 61 349 1619 921 245 72 1106 1003 1555 780 687
## [469] 1066 699 940 1354 1526 223 1019 336 174 989 693 1537 180
## [482] 763 7 1092 1439 1351 1645 1369 654 1060 1428 231 1197 282
## [495] 31 85 33 796 297 23 1211 907 223 201 384 1386 1380
## [508] 1622 428 962 1332 71 1625 444 352 510 1055 36 822 240
## [521] 497 790 581 578 1045 115 1578 613 1487 1053 995 7 77
## [534] 1618 741 679 724 1368 270 739 1077 1207 1529 1170 506 1519
## [547] 1594 957 98 1113 1562 765 27 718 833 1319 1141 1139 1338
## [560] 1125 150 1428 1176 451 1466 995 1050 1463 1417 357 1296 635
## [573] 866 603 1268 1518 912 1040 1172 516 787 866 1005 1662 1389
## [586] 1432 936 1143 1562 795 790 660 1719 321 360 100 1222 110
## [599] 1061 612 1470 210 621 697 68 582 773 1302 971 1229 592
## [612] 335 595 265 397 384 1353 473 827 999 849 437 1398 44
## [625] 93 425 1496 621 732 1515 1582 1344 401 1291 1342 1381 611
## [638] 1678 573 1207 788 427 127 1648 735 1093 648 266 748 1679
## [651] 1572 886 1314 934 644 1520 845 1693 1208 1454 1401 1335 235
## [664] 387 1159 1666 168 1428 1543 1379 1234 1346 1226 1688 1565 823
## [677] 402 1095 1271 282 1325 1361 858 1300 57 1165 289 932 368
## [690] 1297 506 1504 276 929 672 139 986 613 455 469 666 760
## [703] 1062 45 1619 1123 192 307 1190 1386 1139 994 242 469 1525
## [716] 1047 40 453 1379 647 1233 1300 656 1604 852 1581 171 448
## [729] 75 925 275 935 1413 1206 1231 1286 1636 1030 933 530 529
## [742] 362 318 563 1382 68 94 632 900 408 1008 17 954 1088
## [755] 1031 1594 242 1156 1382 1684 137 1692 248 1381 584 64 969
## [768] 315 1234 1503 1691 580 1599 1266 134 1264 1457 1207 515 972
## [781] 1108 232 170 672 671 1210 124 69 1340 596 678 438 290
## [794] 282 704 504 1558 581 1054 57 1661 1636 1552 1281 193 320
## [807] 701 306 641 797 906 144 563 674 770 1197 1440 981 1677
## [820] 632 881 1320 593 109 922 599 712 519 17 157 1110 1447
## [833] 288 935 1463 202 1431 1258 283 123 951 1358 1548 1050 130
## [846] 956 464 686 622 1552 450 1239 293 678 1181 1611 1003 1473
## [859] 1424 120 223 582 1303 1613 1303 360 520 1299 1386 11 258
## [872] 1103 1331 786 1570 1520 252 67 1172 799 770 1314 260 1543
## [885] 692 231 1432 307 1576 870 744 998 755 1070 30 133 498
## [898] 832 1185 1177 238 1684 209 256 148 1674 861 1444 930 1384
## [911] 1223 497 936 1183 1554 281 964 452 50 360 929 922 1417
## [924] 1677 592 107 597 464 738 190 854 894 1717 1084 1068 1598
## [937] 1570 258 554 1373 1165 1497 698 513 1710 326 582 1101 785
## [950] 276 1050 1078 305 440 1277 324 166 1352 604 40 929 135
## [963] 1562 1470 899 1132 1200 1301 1701 905 132 924 374 667 1120
## [976] 885 434 1560 123 1726 1579 422 1256 616 1111 1524 1682 690
## [989] 1040 63 328 1100 378 1012 1113 509 726 780 468 115 260
## [1002] 1378 833 1554 891 346 330 1610 554 1439 639 451 1664 592
## [1015] 1635 1413 22 1562 1161 743 1277 545 882 1438 1271 911 501
## [1028] 544 236 609 602 984 362 798 375 1684 1067 1144 1675 61
## [1041] 1306 803 1650 314 1113 1174 145 313 668 156 1222 1216 954
## [1054] 457 1115 1025 1563 1389 511 650 587 1096 14 171 1186 691
## [1067] 1123 1182 566 1518 575 322 1253 966 574 305 64 1012 1252
## [1080] 1016 369 1510 516 496 1532 1703 1614 831 519 302 75 153
## [1093] 1043 1156 1653 1521 41 1286 1186 1586 1168 590 1577 1549 12
## [1106] 279 1499 468 1054 146 785 1244 1421 263 608 382 580 1316
## [1119] 547 1336 1091 823 1349 1575 454 1246 818 528 1243 829 1406
## [1132] 41 891 605 1268 751 4 958 1020 1557 659 785 182 198
## [1145] 559 268 107 1157 511 1636 404 418 727 735 1598 116 310
## [1158] 610 850 1381 1414 1073 752 463 1555 566 1554 380 92 763
## [1171] 1058 1139 211 847 664 1499 1321 337 647 908 634 1163 135
## [1184] 583 17 546 289 823 772 1353 1520 1007 628 95 1093 1426
## [1197] 862 31 1580 1300 475 1291 785 1343 817 1680 1480 234 413
## [1210] 566 8 875 595 733 1518 1296 1322 293 264 945 1216 2
## [1223] 1353 1136 315 1531 444 837 900 735 1614 1028 553 1678 1084
## [1236] 752 1691 1446 1011 1591 459 496 1585 1715 826 574 251 308
## [1249] 878 1418 35 206 1341 1475 549 121 85 872 200 392 72
## [1262] 996 1613 1154 1500 775 670 168 1641 1613 810 780 12 204
## [1275] 1051 33 1188 1461 400 1281 1613 1537 337 882 739 351 999
## [1288] 34 1715 938 1612 854 1185 1574 269 1571 502 127 1441 1411
## [1301] 966 1406 972 879 672 525 758 1220 790 942 1489 1238 712
## [1314] 383 1726 1394 726 242 1429 168 751 918 1327 1016 1055 593
## [1327] 652 53 297 612 1630 293 1254 423 1523 893 947 7 69
## [1340] 1318 622 1126 1686 327 1441 1589 446 422 1633 324 964 1021
## [1353] 560 406 634 450 622 342 721 1717 1579 1057 156 278 548
## [1366] 1425 1097 850 1132 1489 265 192 861 1649 1482 1709 606 485
## [1379] 446 499 239 1341 813 597 710 1288 1122 1267 518 1419 627
## [1392] 432 603 1696 1447 1421 1016 822 574 1528 240 993 945 575
## [1405] 1517 1309 593 869 207 1190 170 469 137 649 814 1326 1398
## [1418] 107 1216 893 949 752 63 90 337 890 677 364 1466 684
## [1431] 120 303 15 987 387 1432 351 560 1553 357 1293 1511 587
## [1444] 559 396 513 593 173 1704 835 223 1392 993 1710 147 702
## [1457] 149 751 1679 1632 1484 1056 950 27 119 71 1143 1118 520
## [1470] 352 474 1023 1233 9 249 853 1356 720 999 752 1652 1720
## [1483] 1570 1339 1454 530 704 731 1021 1276 346 1655 285 1052 468
## [1496] 1303 1079 227 875 1689 1728 1577 637 285 538 264 1091 888
## [1509] 975 225 21 28 1419 209 1321 279 1639 380 964 1025 9
## [1522] 244 1025 1590 1494 1182 1030 852 778 238 1408 1675 1714 1557
## [1535] 1526 738 773 891 982 1094 861 957 1432 1108 1719 1016 957
## [1548] 442 400 576 1678 64 517 1662 1336 102 1221 690 1537 981
## [1561] 1072 259 1030 1234 640 1300 646 1333 919 481 633 581 1017
## [1574] 138 969 246 24 81 728 514 901 1310 1225 69 1159 756
## [1587] 1146 1169 903 327 571 1026 522 1570 258 1460 1152 1627 1097
## [1600] 719 1633 288 767 921 161 293 121 991 392 663 626 1631
## [1613] 612 458 803 1233 583 1065 1166 929 1140 1397 1696 993 478
## [1626] 270 540 752 772 1429 1229 1617 405 471 1346 111 1667 964
## [1639] 1383 10 116 701 1579 665 106 1100 426 1308 434 1665 1345
## [1652] 1658 489 1222 23 1715 1279 805 1345 730 737 289 692 535
## [1665] 532 375 168 331 1472 1585 1226 1481 1449 524 1217 1618 190
## [1678] 1040 93 356 134 1649 1186 1484 415 465 527 1540 41 13
## [1691] 1318 1308 1650 1150 490 982 332 1361 740 1279 647 229 1583
## [1704] 333 448 1476 1728 623 686 591 1159 185 1188 798 1383 308
## [1717] 796 1231 768 1361 933 1422 422 1708 1139 1030 820 1381
##
## $btree
## n= 1728
##
## node), split, n, loss, yval, (yprob)
## * denotes terminal node
##
## 1) root 1728 532 unacc (0.236689815 0.039351852 0.692129630 0.031828704)
## 2) persons=4,more 1157 532 unacc (0.353500432 0.058772688 0.540190147 0.047536733)
## 4) safety=high,med 778 369 acc (0.525706941 0.087403599 0.316195373 0.070694087)
## 8) buying=low,med 376 165 acc (0.561170213 0.180851064 0.111702128 0.146276596)
## 16) maint=high,vhigh 204 47 acc (0.769607843 0.000000000 0.171568627 0.058823529)
## 32) lug_boot=big,med 142 19 acc (0.866197183 0.000000000 0.049295775 0.084507042)
## 64) buying=med 81 5 acc (0.938271605 0.000000000 0.061728395 0.000000000)
## 128) lug_boot=big 46 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 129) lug_boot=med 35 5 acc (0.857142857 0.000000000 0.142857143 0.000000000)
## 258) safety=high 22 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 259) safety=med 13 5 acc (0.615384615 0.000000000 0.384615385 0.000000000)
## 518) doors=4,5more 8 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 519) doors=2,3 5 0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
## 65) buying=low 61 14 acc (0.770491803 0.000000000 0.032786885 0.196721311)
## 130) safety=med 32 2 acc (0.937500000 0.000000000 0.062500000 0.000000000)
## 260) doors=3,4,5more 25 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 261) doors=2 7 2 acc (0.714285714 0.000000000 0.285714286 0.000000000)
## 522) maint=high 4 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 523) maint=vhigh 3 1 unacc (0.333333333 0.000000000 0.666666667 0.000000000)
## 1046) lug_boot=big 1 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 1047) lug_boot=med 2 0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
## 131) safety=high 29 12 acc (0.586206897 0.000000000 0.000000000 0.413793103)
## 262) maint=vhigh 11 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 263) maint=high 18 6 vgood (0.333333333 0.000000000 0.000000000 0.666666667)
## 526) doors=2,3 10 4 acc (0.600000000 0.000000000 0.000000000 0.400000000)
## 1052) lug_boot=med 6 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 1053) lug_boot=big 4 0 vgood (0.000000000 0.000000000 0.000000000 1.000000000) *
## 527) doors=4,5more 8 0 vgood (0.000000000 0.000000000 0.000000000 1.000000000) *
## 33) lug_boot=small 62 28 acc (0.548387097 0.000000000 0.451612903 0.000000000)
## 66) safety=high 35 5 acc (0.857142857 0.000000000 0.142857143 0.000000000)
## 132) doors=3,4,5more 27 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 133) doors=2 8 3 unacc (0.375000000 0.000000000 0.625000000 0.000000000)
## 266) persons=4 3 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 267) persons=more 5 0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
## 67) safety=med 27 4 unacc (0.148148148 0.000000000 0.851851852 0.000000000)
## 134) maint=high 10 4 unacc (0.400000000 0.000000000 0.600000000 0.000000000)
## 268) persons=4 5 1 acc (0.800000000 0.000000000 0.200000000 0.000000000)
## 536) buying=low 4 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 537) buying=med 1 0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
## 269) persons=more 5 0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
## 135) maint=vhigh 17 0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
## 17) maint=low,med 172 104 good (0.313953488 0.395348837 0.040697674 0.250000000)
## 34) safety=med 90 43 acc (0.522222222 0.422222222 0.055555556 0.000000000)
## 68) lug_boot=small 30 5 acc (0.833333333 0.000000000 0.166666667 0.000000000)
## 136) doors=3,4,5more 21 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 137) doors=2 9 4 unacc (0.444444444 0.000000000 0.555555556 0.000000000)
## 274) persons=4 4 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 275) persons=more 5 0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
## 69) lug_boot=big,med 60 22 good (0.366666667 0.633333333 0.000000000 0.000000000)
## 138) doors=2 13 2 acc (0.846153846 0.153846154 0.000000000 0.000000000)
## 276) lug_boot=med 8 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 277) lug_boot=big 5 2 acc (0.600000000 0.400000000 0.000000000 0.000000000)
## 554) buying=med 3 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 555) buying=low 2 0 good (0.000000000 1.000000000 0.000000000 0.000000000) *
## 139) doors=3,4,5more 47 11 good (0.234042553 0.765957447 0.000000000 0.000000000)
## 278) buying=med 17 8 acc (0.529411765 0.470588235 0.000000000 0.000000000)
## 556) maint=med 7 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 557) maint=low 10 2 good (0.200000000 0.800000000 0.000000000 0.000000000)
## 1114) doors=3 3 1 acc (0.666666667 0.333333333 0.000000000 0.000000000)
## 2228) persons=4 2 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 2229) persons=more 1 0 good (0.000000000 1.000000000 0.000000000 0.000000000) *
## 1115) doors=4,5more 7 0 good (0.000000000 1.000000000 0.000000000 0.000000000) *
## 279) buying=low 30 2 good (0.066666667 0.933333333 0.000000000 0.000000000)
## 558) doors=3 11 2 good (0.181818182 0.818181818 0.000000000 0.000000000)
## 1116) persons=4 5 2 good (0.400000000 0.600000000 0.000000000 0.000000000)
## 2232) lug_boot=med 2 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 2233) lug_boot=big 3 0 good (0.000000000 1.000000000 0.000000000 0.000000000) *
## 1117) persons=more 6 0 good (0.000000000 1.000000000 0.000000000 0.000000000) *
## 559) doors=4,5more 19 0 good (0.000000000 1.000000000 0.000000000 0.000000000) *
## 35) safety=high 82 39 vgood (0.085365854 0.365853659 0.024390244 0.524390244)
## 70) lug_boot=med,small 51 21 good (0.137254902 0.588235294 0.039215686 0.235294118)
## 140) persons=4 33 8 good (0.151515152 0.757575758 0.000000000 0.090909091)
## 280) maint=med 15 7 good (0.333333333 0.533333333 0.000000000 0.133333333)
## 560) buying=med 6 1 acc (0.833333333 0.000000000 0.000000000 0.166666667)
## 1120) doors=2,3,4 5 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 1121) doors=5more 1 0 vgood (0.000000000 0.000000000 0.000000000 1.000000000) *
## 561) buying=low 9 1 good (0.000000000 0.888888889 0.000000000 0.111111111)
## 1122) doors=2,3,5more 7 0 good (0.000000000 1.000000000 0.000000000 0.000000000) *
## 1123) doors=4 2 1 good (0.000000000 0.500000000 0.000000000 0.500000000)
## 2246) lug_boot=small 1 0 good (0.000000000 1.000000000 0.000000000 0.000000000) *
## 2247) lug_boot=med 1 0 vgood (0.000000000 0.000000000 0.000000000 1.000000000) *
## 281) maint=low 18 1 good (0.000000000 0.944444444 0.000000000 0.055555556)
## 562) doors=2,3,5more 14 0 good (0.000000000 1.000000000 0.000000000 0.000000000) *
## 563) doors=4 4 1 good (0.000000000 0.750000000 0.000000000 0.250000000)
## 1126) lug_boot=small 3 0 good (0.000000000 1.000000000 0.000000000 0.000000000) *
## 1127) lug_boot=med 1 0 vgood (0.000000000 0.000000000 0.000000000 1.000000000) *
## 141) persons=more 18 9 vgood (0.111111111 0.277777778 0.111111111 0.500000000)
## 282) lug_boot=small 8 4 good (0.250000000 0.500000000 0.250000000 0.000000000)
## 564) doors=3,5more 6 2 good (0.333333333 0.666666667 0.000000000 0.000000000)
## 1128) buying=med 2 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 1129) buying=low 4 0 good (0.000000000 1.000000000 0.000000000 0.000000000) *
## 565) doors=2 2 0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
## 283) lug_boot=med 10 1 vgood (0.000000000 0.100000000 0.000000000 0.900000000)
## 566) doors=2 1 0 good (0.000000000 1.000000000 0.000000000 0.000000000) *
## 567) doors=3,4,5more 9 0 vgood (0.000000000 0.000000000 0.000000000 1.000000000) *
## 71) lug_boot=big 31 0 vgood (0.000000000 0.000000000 0.000000000 1.000000000) *
## 9) buying=high,vhigh 402 198 unacc (0.492537313 0.000000000 0.507462687 0.000000000)
## 18) maint=low,med 189 32 acc (0.830687831 0.000000000 0.169312169 0.000000000)
## 36) lug_boot=big,med 144 7 acc (0.951388889 0.000000000 0.048611111 0.000000000)
## 72) doors=3,4,5more 109 1 acc (0.990825688 0.000000000 0.009174312 0.000000000)
## 144) doors=4,5more 74 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 145) doors=3 35 1 acc (0.971428571 0.000000000 0.028571429 0.000000000)
## 290) maint=med 21 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 291) maint=low 14 1 acc (0.928571429 0.000000000 0.071428571 0.000000000)
## 582) safety=high 9 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 583) safety=med 5 1 acc (0.800000000 0.000000000 0.200000000 0.000000000)
## 1166) buying=vhigh 3 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 1167) buying=high 2 1 acc (0.500000000 0.000000000 0.500000000 0.000000000)
## 2334) lug_boot=big 1 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 2335) lug_boot=med 1 0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
## 73) doors=2 35 6 acc (0.828571429 0.000000000 0.171428571 0.000000000)
## 146) safety=high 20 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 147) safety=med 15 6 acc (0.600000000 0.000000000 0.400000000 0.000000000)
## 294) lug_boot=big 9 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 295) lug_boot=med 6 0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
## 37) lug_boot=small 45 20 unacc (0.444444444 0.000000000 0.555555556 0.000000000)
## 74) safety=high 20 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 75) safety=med 25 0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
## 19) maint=high,vhigh 213 41 unacc (0.192488263 0.000000000 0.807511737 0.000000000)
## 38) maint=high 106 41 unacc (0.386792453 0.000000000 0.613207547 0.000000000)
## 76) buying=high 62 21 acc (0.661290323 0.000000000 0.338709677 0.000000000)
## 152) lug_boot=big 20 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 153) lug_boot=med,small 42 21 acc (0.500000000 0.000000000 0.500000000 0.000000000)
## 306) safety=high 15 1 acc (0.933333333 0.000000000 0.066666667 0.000000000)
## 612) doors=3,4,5more 13 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 613) doors=2 2 1 acc (0.500000000 0.000000000 0.500000000 0.000000000)
## 1226) persons=4 1 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 1227) persons=more 1 0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
## 307) safety=med 27 7 unacc (0.259259259 0.000000000 0.740740741 0.000000000)
## 614) lug_boot=med 15 7 unacc (0.466666667 0.000000000 0.533333333 0.000000000)
## 1228) doors=4,5more 5 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 1229) doors=2,3 10 2 unacc (0.200000000 0.000000000 0.800000000 0.000000000)
## 2458) persons=more 4 2 acc (0.500000000 0.000000000 0.500000000 0.000000000)
## 4916) doors=3 2 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 4917) doors=2 2 0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
## 2459) persons=4 6 0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
## 615) lug_boot=small 12 0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
## 77) buying=vhigh 44 0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
## 39) maint=vhigh 107 0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
## 5) safety=low 379 0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
## 3) persons=2 571 0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
##
## attr(,"class")
## class
## "sclass"
##
## $mtrees[[20]]
## $bindx
## [1] 994 604 82 379 658 834 1237 1182 25 1539 1563 1002 849
## [14] 912 712 298 1001 141 118 1593 48 369 890 879 335 703
## [27] 1400 738 471 84 921 524 537 952 1379 236 1153 1600 703
## [40] 1520 740 1557 1221 969 870 305 814 406 1282 1113 872 500
## [53] 1138 295 1703 825 979 937 774 1314 1058 25 1566 273 33
## [66] 153 1133 225 1070 512 1696 11 1611 553 1200 273 141 1282
## [79] 769 685 211 33 151 1198 925 123 873 1539 1693 930 651
## [92] 949 1 854 1128 68 1665 978 685 269 16 1708 1175 1144
## [105] 650 1228 432 163 302 944 1270 1066 1527 1511 756 1525 954
## [118] 1328 873 806 842 430 609 805 730 487 969 808 1255 765
## [131] 184 700 1276 910 1505 510 756 846 750 1054 1577 108 613
## [144] 1563 633 518 1593 630 796 1685 1631 943 1337 1623 345 1658
## [157] 877 1223 1138 1416 365 1316 409 164 1436 1358 306 82 445
## [170] 297 1700 1152 1190 1311 1696 499 625 128 27 534 95 1141
## [183] 393 303 1105 1200 1639 932 1561 989 638 791 1628 647 856
## [196] 1333 1443 271 88 1101 871 626 664 1318 774 478 291 509
## [209] 1578 712 1212 172 346 997 571 1496 88 846 771 791 171
## [222] 1500 1567 1182 1560 1501 31 1263 274 385 663 1262 507 943
## [235] 882 1423 909 556 748 1067 550 1340 391 1498 858 11 956
## [248] 1211 1538 1042 769 146 406 551 1635 807 1012 1229 897 1150
## [261] 1365 1242 805 1633 787 497 875 277 1224 1412 862 1551 144
## [274] 431 832 1311 1097 85 1481 1098 383 1558 1247 1680 1510 883
## [287] 839 388 751 774 1327 17 1130 1227 409 987 952 694 762
## [300] 747 44 1244 607 667 1513 1052 470 1140 111 648 1590 1474
## [313] 465 970 940 733 114 938 1220 1419 373 737 1037 521 833
## [326] 219 432 3 883 512 1631 1207 229 1676 621 895 1703 1279
## [339] 1275 1470 727 621 1461 1029 903 1172 106 267 1462 874 1458
## [352] 701 410 77 272 1592 342 723 500 1669 132 1666 755 265
## [365] 1503 774 591 44 667 1602 957 604 1144 211 488 876 222
## [378] 1017 1449 77 1594 1715 302 1096 1378 991 810 138 1343 962
## [391] 834 772 1094 5 749 1133 33 1280 432 1482 436 835 337
## [404] 1202 846 1643 277 62 908 943 734 231 778 623 402 278
## [417] 926 1361 256 637 1538 74 392 708 1665 887 854 1634 1308
## [430] 1175 97 1005 385 764 822 1362 100 1063 84 1045 1165 1242
## [443] 616 1678 1000 8 103 752 415 360 949 229 399 256 496
## [456] 1684 912 135 847 1495 729 1289 1413 501 1078 670 817 1223
## [469] 72 1635 903 212 873 292 1551 1414 699 953 1487 860 1260
## [482] 715 1581 1240 698 1595 1034 427 1182 217 1530 1526 100 581
## [495] 327 951 1222 606 1257 204 841 119 829 1218 245 10 783
## [508] 707 1379 86 824 437 1581 145 1148 703 86 435 837 259
## [521] 1548 998 167 1090 1550 1666 1332 1142 154 1512 1535 57 47
## [534] 1361 1522 1555 1152 1487 449 202 852 245 244 969 656 869
## [547] 1366 1313 712 849 262 1099 355 1111 1315 630 1570 1263 199
## [560] 1086 1154 441 1247 1400 1008 1078 439 178 1024 366 818 482
## [573] 113 606 1489 349 1664 1193 1002 1673 721 1000 613 1152 1280
## [586] 63 1272 992 584 455 1098 1168 543 1566 1294 1279 1726 173
## [599] 1227 1267 382 1441 1509 442 646 103 150 1638 546 1237 1516
## [612] 1724 187 1239 1157 1413 424 551 672 557 1653 1624 961 561
## [625] 1033 1336 1338 311 1246 1113 1507 62 1601 1486 1402 398 1516
## [638] 631 1523 656 632 669 959 1570 485 1117 606 605 652 1440
## [651] 417 81 593 13 999 1155 406 464 654 606 355 1061 1547
## [664] 1589 1277 202 579 990 1251 779 432 279 629 1254 144 86
## [677] 1702 967 1295 522 1328 165 409 1195 513 663 1185 792 930
## [690] 1469 383 774 839 209 454 1044 1335 286 1630 1285 323 381
## [703] 944 656 1479 789 243 1431 247 312 1608 430 1197 1629 1378
## [716] 1513 1688 168 1458 637 753 1178 1429 796 510 370 1608 1431
## [729] 428 181 1645 1306 559 757 1047 1007 1361 1028 24 889 1642
## [742] 944 132 1543 1393 1427 561 415 1437 1437 163 1594 269 1116
## [755] 1011 1152 848 1635 1370 1513 1717 714 215 729 39 971 369
## [768] 720 1677 371 1612 288 544 157 372 594 1444 868 208 1078
## [781] 935 375 482 1325 44 926 958 113 1273 293 1289 730 1417
## [794] 383 204 1277 1341 1074 1335 1051 609 1244 982 713 167 370
## [807] 616 1551 1614 1574 650 5 1540 533 1603 1667 514 412 608
## [820] 1348 1714 1109 1248 1604 144 185 725 937 635 1586 787 374
## [833] 1600 1713 1115 879 1293 760 1207 964 568 1235 337 1234 768
## [846] 233 612 721 1150 162 808 1434 1423 1032 264 924 1060 1652
## [859] 101 434 976 1564 39 1102 1699 391 1 1171 1292 634 426
## [872] 736 1443 687 1368 161 646 86 994 1027 1075 1393 337 753
## [885] 1313 1465 167 282 1495 1610 400 1383 850 11 257 115 707
## [898] 1321 1037 357 1255 596 25 531 126 380 18 1301 1623 4
## [911] 629 845 284 3 714 1111 125 813 149 1723 1041 1716 725
## [924] 1036 1130 243 629 545 362 544 766 33 952 1323 502 125
## [937] 389 66 1485 1270 228 560 867 962 1017 1666 430 1568 1172
## [950] 526 1405 1236 663 1179 343 268 323 898 705 700 1179 1423
## [963] 998 1608 129 1113 33 227 720 730 1449 674 469 655 755
## [976] 1127 135 430 944 1724 1117 923 16 1675 835 56 1629 1469
## [989] 1599 1008 824 128 1694 1162 915 841 646 361 1385 1647 1029
## [1002] 1271 1610 1635 987 1701 402 1695 1640 638 102 1364 274 183
## [1015] 385 925 879 90 96 1442 779 1185 1295 881 571 343 1545
## [1028] 635 960 1495 14 1142 71 949 201 498 111 478 91 1546
## [1041] 1292 743 1381 985 652 1071 756 8 1341 1599 1306 398 1677
## [1054] 367 284 1311 352 861 430 772 1287 398 290 1482 865 1557
## [1067] 1335 1175 1506 1616 816 1378 1529 64 488 34 357 535 1247
## [1080] 441 1605 357 1009 1125 343 57 488 475 380 1456 116 1240
## [1093] 443 439 642 1326 1178 1701 1319 8 588 1223 294 1171 1382
## [1106] 712 1627 588 211 1128 1514 1003 971 720 742 180 1572 757
## [1119] 188 1493 81 1517 1218 1699 1638 622 1395 773 1332 1429 1367
## [1132] 1200 600 802 865 1409 1017 1074 831 668 1551 826 1235 235
## [1145] 306 844 527 1596 684 764 1273 235 79 1728 1284 364 888
## [1158] 5 630 1098 407 496 1481 598 1600 1349 865 1172 1107 229
## [1171] 1617 1069 1409 142 881 248 914 1385 599 971 552 1068 1507
## [1184] 611 844 1402 242 588 1078 1586 321 566 936 1185 692 879
## [1197] 1096 265 46 949 916 1341 92 1648 1412 1195 966 38 1609
## [1210] 1668 932 1081 485 1236 1486 612 164 996 977 218 132 615
## [1223] 637 1339 45 387 1040 1562 977 459 85 206 1247 895 1244
## [1236] 1115 1601 666 1544 940 442 1084 205 516 352 221 1503 490
## [1249] 909 202 411 248 125 299 456 946 1491 1596 852 1414 448
## [1262] 452 1398 324 503 169 1481 1111 1036 9 605 1590 59 1152
## [1275] 1716 249 1701 310 855 94 81 1392 1442 917 1547 1011 941
## [1288] 186 1168 701 783 1010 2 1516 16 271 1080 620 504 1085
## [1301] 1193 290 548 960 1566 1688 134 764 367 1516 984 1131 514
## [1314] 1092 456 275 1707 211 1435 1489 703 909 1258 1016 93 268
## [1327] 1440 830 3 161 449 1361 407 1080 1112 1363 341 686 331
## [1340] 721 1709 579 43 1373 1267 1653 578 1333 1317 1151 335 1232
## [1353] 1210 640 1621 254 1632 1530 1348 570 30 1164 737 1221 1056
## [1366] 1542 1542 1496 876 1707 1428 1077 1382 451 15 1509 445 395
## [1379] 219 838 494 1426 975 667 368 1054 439 53 868 772 1156
## [1392] 1248 341 484 1621 958 163 1390 502 477 128 732 491 1314
## [1405] 382 576 294 1147 1716 556 872 94 998 1301 1294 462 1543
## [1418] 1471 827 1369 68 1642 1628 783 1099 1503 1484 933 197 1670
## [1431] 1276 1291 702 1592 211 165 435 727 24 12 575 701 1282
## [1444] 665 847 790 1370 385 1200 1382 966 834 1555 727 1317 856
## [1457] 945 1006 1686 560 660 437 1492 646 1691 150 424 1437 581
## [1470] 1594 123 946 323 782 1275 470 1030 1475 257 330 580 274
## [1483] 1297 523 1040 1181 748 1413 84 451 281 929 995 119 8
## [1496] 633 1471 1476 334 144 1280 1241 1107 102 238 232 42 1505
## [1509] 1430 739 1212 767 1380 581 1678 1116 1057 1679 1176 417 1537
## [1522] 112 804 446 694 764 466 1035 713 88 525 453 708 28
## [1535] 1505 1518 669 332 143 922 324 316 265 303 256 506 458
## [1548] 572 1644 1708 370 852 498 1544 21 1539 1679 864 693 1303
## [1561] 210 228 672 288 735 773 246 974 14 1196 1210 1073 127
## [1574] 1256 124 1625 89 702 192 757 665 765 718 173 1425 1301
## [1587] 1391 238 239 1097 1595 428 1267 389 994 875 566 1594 1115
## [1600] 1464 1320 458 1134 1496 483 1140 834 660 1575 1566 1692 124
## [1613] 125 403 1583 378 1487 192 292 1387 457 1043 64 1478 1006
## [1626] 72 375 193 619 176 1002 492 999 1711 1372 1111 1271 1620
## [1639] 664 1227 1009 861 1062 598 1678 1008 1700 226 1191 560 1299
## [1652] 384 608 936 709 1114 705 1249 1225 1399 841 1433 592 824
## [1665] 1726 1342 165 1463 1426 692 264 1604 1084 489 847 518 389
## [1678] 1394 1185 961 1023 1113 17 58 113 1038 1426 13 669 460
## [1691] 1275 776 539 141 742 1468 1170 1643 497 1414 1269 1562 355
## [1704] 747 1355 63 1687 778 460 825 770 1505 749 511 943 403
## [1717] 40 477 154 656 1703 1477 1464 912 1658 165 804 1720
##
## $btree
## n= 1728
##
## node), split, n, loss, yval, (yprob)
## * denotes terminal node
##
## 1) root 1728 535 unacc (0.224537037 0.036458333 0.690393519 0.048611111)
## 2) safety=high,med 1127 535 unacc (0.344276841 0.055900621 0.525288376 0.074534161)
## 4) persons=4,more 749 361 acc (0.518024032 0.084112150 0.285714286 0.112149533)
## 8) buying=low,med 378 174 acc (0.539682540 0.166666667 0.071428571 0.222222222)
## 16) maint=high,vhigh 188 42 acc (0.776595745 0.000000000 0.132978723 0.090425532)
## 32) lug_boot=big,med 124 21 acc (0.830645161 0.000000000 0.032258065 0.137096774)
## 64) buying=med 69 2 acc (0.971014493 0.000000000 0.028985507 0.000000000)
## 128) doors=3,4,5more 48 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 129) doors=2 21 2 acc (0.904761905 0.000000000 0.095238095 0.000000000)
## 258) safety=high 12 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 259) safety=med 9 2 acc (0.777777778 0.000000000 0.222222222 0.000000000)
## 518) lug_boot=big 7 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 519) lug_boot=med 2 0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
## 65) buying=low 55 19 acc (0.654545455 0.000000000 0.036363636 0.309090909)
## 130) maint=vhigh 28 2 acc (0.928571429 0.000000000 0.071428571 0.000000000)
## 260) safety=high 15 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 261) safety=med 13 2 acc (0.846153846 0.000000000 0.153846154 0.000000000)
## 522) doors=4,5more 7 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 523) doors=2,3 6 2 acc (0.666666667 0.000000000 0.333333333 0.000000000)
## 1046) lug_boot=big 4 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 1047) lug_boot=med 2 0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
## 131) maint=high 27 10 vgood (0.370370370 0.000000000 0.000000000 0.629629630)
## 262) safety=med 8 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 263) safety=high 19 2 vgood (0.105263158 0.000000000 0.000000000 0.894736842)
## 526) doors=2 4 2 acc (0.500000000 0.000000000 0.000000000 0.500000000)
## 1052) lug_boot=med 2 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 1053) lug_boot=big 2 0 vgood (0.000000000 0.000000000 0.000000000 1.000000000) *
## 527) doors=3,4,5more 15 0 vgood (0.000000000 0.000000000 0.000000000 1.000000000) *
## 33) lug_boot=small 64 21 acc (0.671875000 0.000000000 0.328125000 0.000000000)
## 66) safety=high 34 3 acc (0.911764706 0.000000000 0.088235294 0.000000000)
## 132) doors=3,4,5more 26 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 133) doors=2 8 3 acc (0.625000000 0.000000000 0.375000000 0.000000000)
## 266) persons=4 5 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 267) persons=more 3 0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
## 67) safety=med 30 12 unacc (0.400000000 0.000000000 0.600000000 0.000000000)
## 134) maint=high 17 5 acc (0.705882353 0.000000000 0.294117647 0.000000000)
## 268) buying=low 12 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 269) buying=med 5 0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
## 135) maint=vhigh 13 0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
## 17) maint=low,med 190 123 vgood (0.305263158 0.331578947 0.010526316 0.352631579)
## 34) safety=med 82 31 acc (0.621951220 0.365853659 0.012195122 0.000000000)
## 68) lug_boot=small 29 1 acc (0.965517241 0.000000000 0.034482759 0.000000000)
## 136) doors=3,4,5more 25 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 137) doors=2 4 1 acc (0.750000000 0.000000000 0.250000000 0.000000000)
## 274) persons=4 3 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 275) persons=more 1 0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
## 69) lug_boot=big,med 53 23 good (0.433962264 0.566037736 0.000000000 0.000000000)
## 138) buying=med 25 7 acc (0.720000000 0.280000000 0.000000000 0.000000000)
## 276) maint=med 15 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 277) maint=low 10 3 good (0.300000000 0.700000000 0.000000000 0.000000000)
## 554) doors=2 2 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 555) doors=3,4,5more 8 1 good (0.125000000 0.875000000 0.000000000 0.000000000)
## 1110) doors=3 3 1 good (0.333333333 0.666666667 0.000000000 0.000000000)
## 2220) lug_boot=med 1 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 2221) lug_boot=big 2 0 good (0.000000000 1.000000000 0.000000000 0.000000000) *
## 1111) doors=4,5more 5 0 good (0.000000000 1.000000000 0.000000000 0.000000000) *
## 139) buying=low 28 5 good (0.178571429 0.821428571 0.000000000 0.000000000)
## 278) doors=2 8 3 acc (0.625000000 0.375000000 0.000000000 0.000000000)
## 556) lug_boot=med 5 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 557) lug_boot=big 3 0 good (0.000000000 1.000000000 0.000000000 0.000000000) *
## 279) doors=3,4,5more 20 0 good (0.000000000 1.000000000 0.000000000 0.000000000) *
## 35) safety=high 108 41 vgood (0.064814815 0.305555556 0.009259259 0.620370370)
## 70) lug_boot=small 33 8 good (0.212121212 0.757575758 0.030303030 0.000000000)
## 140) maint=med 16 8 good (0.437500000 0.500000000 0.062500000 0.000000000)
## 280) buying=med 8 1 acc (0.875000000 0.000000000 0.125000000 0.000000000)
## 560) doors=3,4,5more 6 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 561) doors=2 2 1 acc (0.500000000 0.000000000 0.500000000 0.000000000)
## 1122) persons=4 1 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 1123) persons=more 1 0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
## 281) buying=low 8 0 good (0.000000000 1.000000000 0.000000000 0.000000000) *
## 141) maint=low 17 0 good (0.000000000 1.000000000 0.000000000 0.000000000) *
## 71) lug_boot=big,med 75 8 vgood (0.000000000 0.106666667 0.000000000 0.893333333)
## 142) doors=2 21 8 vgood (0.000000000 0.380952381 0.000000000 0.619047619)
## 284) lug_boot=med 8 0 good (0.000000000 1.000000000 0.000000000 0.000000000) *
## 285) lug_boot=big 13 0 vgood (0.000000000 0.000000000 0.000000000 1.000000000) *
## 143) doors=3,4,5more 54 0 vgood (0.000000000 0.000000000 0.000000000 1.000000000) *
## 9) buying=high,vhigh 371 184 unacc (0.495956873 0.000000000 0.504043127 0.000000000)
## 18) maint=low,med 185 38 acc (0.794594595 0.000000000 0.205405405 0.000000000)
## 36) lug_boot=big,med 128 7 acc (0.945312500 0.000000000 0.054687500 0.000000000)
## 72) safety=high 74 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 73) safety=med 54 7 acc (0.870370370 0.000000000 0.129629630 0.000000000)
## 146) lug_boot=big 28 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 147) lug_boot=med 26 7 acc (0.730769231 0.000000000 0.269230769 0.000000000)
## 294) doors=4,5more 16 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 295) doors=2,3 10 3 unacc (0.300000000 0.000000000 0.700000000 0.000000000)
## 590) doors=3 6 3 acc (0.500000000 0.000000000 0.500000000 0.000000000)
## 1180) persons=more 3 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 1181) persons=4 3 0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
## 591) doors=2 4 0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
## 37) lug_boot=small 57 26 unacc (0.456140351 0.000000000 0.543859649 0.000000000)
## 74) safety=high 30 4 acc (0.866666667 0.000000000 0.133333333 0.000000000)
## 148) doors=3,4,5more 21 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 149) doors=2 9 4 acc (0.555555556 0.000000000 0.444444444 0.000000000)
## 298) persons=4 5 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 299) persons=more 4 0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
## 75) safety=med 27 0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
## 19) maint=high,vhigh 186 37 unacc (0.198924731 0.000000000 0.801075269 0.000000000)
## 38) maint=high 94 37 unacc (0.393617021 0.000000000 0.606382979 0.000000000)
## 76) buying=high 51 14 acc (0.725490196 0.000000000 0.274509804 0.000000000)
## 152) safety=high 25 2 acc (0.920000000 0.000000000 0.080000000 0.000000000)
## 304) doors=3,4,5more 22 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 305) doors=2 3 1 unacc (0.333333333 0.000000000 0.666666667 0.000000000)
## 610) persons=4 1 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 611) persons=more 2 0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
## 153) safety=med 26 12 acc (0.538461538 0.000000000 0.461538462 0.000000000)
## 306) lug_boot=big,med 17 3 acc (0.823529412 0.000000000 0.176470588 0.000000000)
## 612) doors=2,4,5more 12 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 613) doors=3 5 2 unacc (0.400000000 0.000000000 0.600000000 0.000000000)
## 1226) lug_boot=big 2 0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
## 1227) lug_boot=med 3 0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
## 307) lug_boot=small 9 0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
## 77) buying=vhigh 43 0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
## 39) maint=vhigh 92 0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
## 5) persons=2 378 0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
## 3) safety=low 601 0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
##
## attr(,"class")
## class
## "sclass"
##
## $mtrees[[21]]
## $bindx
## [1] 358 552 956 1288 338 493 1152 551 1215 876 361 28 912
## [14] 1677 75 270 1472 818 1682 49 546 209 684 1138 841 1118
## [27] 924 1708 1458 1130 1652 1127 1635 808 1463 53 1424 378 1232
## [40] 41 983 841 39 1628 1481 1623 872 285 1308 1619 423 1040
## [53] 572 722 5 129 1476 38 276 654 34 1540 530 230 748
## [66] 73 317 1553 491 760 422 273 1482 449 49 1327 294 301
## [79] 1394 937 1184 620 830 614 1088 90 207 1150 1499 1557 866
## [92] 264 843 872 1415 1225 470 329 1260 721 354 1661 192 89
## [105] 619 377 1287 1569 679 746 436 1193 511 1309 1705 641 77
## [118] 1453 1343 472 212 1245 559 1383 38 948 1643 53 1031 425
## [131] 446 1577 1625 9 206 905 336 400 922 1186 187 1411 95
## [144] 768 1277 1000 1264 476 1129 1038 1332 1474 1430 1030 885 1110
## [157] 1376 1036 1053 829 884 1191 524 1212 1678 935 1364 930 1119
## [170] 966 201 1673 839 1714 557 1387 1026 137 348 155 1266 1323
## [183] 88 712 1634 1203 1674 1294 335 453 347 557 1171 922 1110
## [196] 968 142 300 1059 356 1582 312 1546 551 345 1393 690 256
## [209] 582 586 1321 1182 1685 1576 429 1242 1202 1510 1700 1410 706
## [222] 1484 336 1091 708 1666 85 1279 1396 649 45 1700 133 448
## [235] 1406 1645 1284 1696 811 925 58 1317 1341 1601 211 810 1553
## [248] 191 1428 674 1317 1374 1212 246 1719 1667 1399 1183 522 884
## [261] 271 1688 1617 1629 1172 1169 355 896 1110 746 1206 134 79
## [274] 23 1329 1452 374 500 556 685 1622 132 556 211 72 1315
## [287] 225 1383 1474 1106 1542 1166 265 1578 537 1066 778 1538 650
## [300] 369 1025 1202 212 749 452 1349 1264 1642 431 3 196 1229
## [313] 1059 584 1154 1054 392 450 694 337 1502 1283 1440 144 640
## [326] 1058 505 789 1359 1167 984 229 1428 858 1566 202 67 1138
## [339] 1544 344 323 743 691 1432 1229 540 1334 358 609 929 877
## [352] 1411 1706 588 1086 1720 747 600 1050 316 352 199 386 1206
## [365] 573 511 592 1593 1252 1453 477 1302 1388 129 26 764 1592
## [378] 463 112 1344 1247 976 551 613 1495 394 664 1583 324 1076
## [391] 1695 873 1551 179 1571 1103 937 907 964 927 1402 1126 156
## [404] 644 852 1604 752 1708 535 1550 336 1727 1626 159 288 968
## [417] 1597 852 1632 824 1593 1490 1568 860 1177 875 592 408 439
## [430] 643 1557 47 519 506 1264 1335 1710 769 173 1415 1409 1350
## [443] 691 1432 1444 407 1181 219 737 830 1437 104 418 258 341
## [456] 263 495 1315 255 1645 692 159 1360 1592 72 1516 460 1133
## [469] 1008 617 1143 79 139 1361 318 783 1188 1259 1561 736 1121
## [482] 1276 1145 716 1198 491 345 113 700 848 1474 1545 1436 1663
## [495] 189 1562 1551 146 650 911 1270 728 394 394 489 72 80
## [508] 195 1198 945 819 1311 728 35 1120 1118 1392 639 1418 447
## [521] 885 389 1513 1603 111 862 145 505 1454 1135 635 91 1585
## [534] 619 1667 631 9 1388 46 1520 614 1021 375 1528 1114 1635
## [547] 335 1250 341 707 420 935 114 1413 1199 400 619 1698 1277
## [560] 1423 597 1559 121 916 1070 1021 1170 1514 12 239 588 1387
## [573] 54 1280 887 442 760 1225 307 1075 48 638 1454 1498 701
## [586] 79 758 804 878 377 684 472 223 1337 1581 928 571 919
## [599] 728 669 1091 391 1365 992 1601 1089 61 834 1557 1193 255
## [612] 874 28 561 1511 822 1074 1298 600 403 591 366 916 1720
## [625] 1064 1685 1470 616 955 64 262 1024 1615 153 1531 897 128
## [638] 1372 392 90 893 986 715 949 1388 572 1724 1645 1184 862
## [651] 1073 1149 1164 1120 1318 1517 46 441 992 1197 295 535 1074
## [664] 488 1534 425 1202 1067 194 665 1551 199 1587 256 1625 46
## [677] 1143 215 1720 1126 575 503 1598 1713 427 140 713 363 1311
## [690] 1429 315 1280 148 1656 459 1543 1219 1709 636 492 284 1688
## [703] 1422 1273 1650 1078 1216 517 993 933 912 512 797 1339 1379
## [716] 1334 993 324 399 1677 910 90 866 115 1602 1670 412 1717
## [729] 20 1260 1015 1452 546 1674 948 1557 1706 59 760 1289 1566
## [742] 886 590 1613 444 1103 1101 429 1272 1165 584 398 63 1182
## [755] 1235 1067 470 598 509 188 399 1363 1402 1295 1174 1095 771
## [768] 755 574 1000 142 1199 191 1425 1709 508 1457 538 177 640
## [781] 792 1463 362 879 985 653 1160 991 112 1203 151 228 1539
## [794] 971 518 1457 213 537 1704 143 356 1511 946 1499 903 44
## [807] 79 645 1506 386 378 1574 1400 1411 871 1454 1522 1676 1014
## [820] 637 202 685 1505 876 366 1428 1236 209 1715 1415 1192 1274
## [833] 161 114 1270 849 1001 265 1256 1644 1712 367 304 1350 718
## [846] 1469 427 1140 1148 708 1097 1593 1571 1197 969 535 903 653
## [859] 1317 87 282 962 239 1128 755 412 796 17 1005 917 1416
## [872] 231 1698 724 1713 1080 29 568 502 1507 320 644 1211 1203
## [885] 1451 1226 432 1382 85 1233 225 1359 1531 1208 897 916 532
## [898] 733 1153 555 676 115 412 1342 1719 1237 880 353 296 1066
## [911] 434 1157 963 1442 1423 1005 991 1162 1388 753 1514 1019 560
## [924] 366 429 655 1466 1226 1242 1001 264 252 248 1663 161 1603
## [937] 189 1136 1133 425 1262 1271 1083 1284 433 1690 399 1525 127
## [950] 634 1541 2 921 465 657 642 113 1216 1488 1404 351 349
## [963] 1604 1035 699 1551 981 188 1595 531 734 1081 589 773 482
## [976] 390 1215 1213 1442 90 1266 98 1208 600 1012 756 1135 968
## [989] 721 40 166 741 1216 1263 234 612 704 1228 422 1201 165
## [1002] 841 240 1389 1698 270 1646 707 718 881 125 142 661 1491
## [1015] 1003 300 18 675 1258 1278 642 1688 68 366 430 1100 371
## [1028] 1121 93 1579 508 615 306 1133 193 745 1583 814 255 597
## [1041] 301 125 259 465 1061 1124 195 484 223 41 1663 1266 1617
## [1054] 1005 1443 856 849 1229 1551 752 1533 1096 1288 1394 325 1601
## [1067] 544 977 1065 1519 627 1685 1135 413 500 1091 317 274 1148
## [1080] 755 1412 352 1410 1329 911 665 1286 71 1064 299 1089 350
## [1093] 1282 1631 1620 522 901 674 1458 297 164 1025 1272 859 1331
## [1106] 27 184 432 773 1723 1437 126 1442 1001 549 1422 1224 1355
## [1119] 899 106 427 77 114 1138 1210 769 1205 758 1083 1646 1695
## [1132] 1320 320 1267 1560 1289 1378 1530 946 1641 1654 52 1481 288
## [1145] 1225 59 891 174 148 469 956 557 390 627 1348 921 301
## [1158] 957 797 471 614 873 712 638 1553 1240 1203 85 137 1219
## [1171] 1544 1274 112 789 879 1419 166 1217 1686 1689 837 1166 258
## [1184] 19 1689 486 779 386 1560 41 1492 1186 773 275 715 1619
## [1197] 302 260 1135 1080 511 138 1499 688 1025 676 73 1247 645
## [1210] 1528 1107 668 55 866 457 535 146 1478 1289 1209 1455 1651
## [1223] 797 188 1180 873 1220 601 115 893 851 39 931 1700 1231
## [1236] 733 406 336 739 1054 947 1022 878 1233 1118 547 741 492
## [1249] 1445 1048 483 241 747 858 440 200 209 1297 1115 145 1207
## [1262] 1293 421 247 1352 1645 121 1181 1570 1132 580 909 421 1148
## [1275] 698 703 1149 25 306 1361 990 242 1385 125 1575 1622 1046
## [1288] 1325 756 989 961 140 904 1608 1016 137 1608 969 1278 1362
## [1301] 616 1074 1454 405 531 1578 1679 875 994 1378 1312 1443 896
## [1314] 1396 100 1139 1155 1519 536 90 581 611 953 788 667 93
## [1327] 1325 1256 1251 958 599 1266 619 1044 1153 1584 81 841 979
## [1340] 885 1582 1205 1631 794 1355 3 223 944 16 495 735 1520
## [1353] 1222 385 511 1674 1607 35 689 1331 215 273 197 1666 1659
## [1366] 492 504 444 308 1715 8 254 1322 461 767 640 189 1403
## [1379] 542 463 433 303 1170 1589 688 951 73 1540 647 261 1175
## [1392] 88 1228 927 1375 1540 751 921 708 1613 133 1107 630 1340
## [1405] 170 459 503 124 580 977 1291 365 194 989 749 485 172
## [1418] 1106 1708 748 358 1198 1588 143 244 956 583 913 1021 1115
## [1431] 1569 1538 260 323 712 632 1066 41 1238 609 164 72 545
## [1444] 1235 601 1164 1215 341 594 1513 72 1620 1002 458 1236 1372
## [1457] 453 172 1280 787 385 1709 884 1454 1215 707 998 128 677
## [1470] 1707 965 120 757 1437 172 1620 1115 5 1613 1605 1282 1020
## [1483] 402 1349 1173 1141 363 759 1391 220 1278 845 280 77 448
## [1496] 1039 1165 1677 533 1250 474 1303 1308 1702 836 219 965 1563
## [1509] 535 280 381 774 359 884 1547 1172 926 13 188 1480 747
## [1522] 477 1556 403 449 939 1340 29 85 2 1684 1195 531 831
## [1535] 275 71 617 1523 1490 1596 938 1670 1469 521 42 1204 546
## [1548] 1652 818 1386 361 1489 995 982 1258 838 208 205 878 148
## [1561] 467 1484 196 1229 1105 993 1051 1051 967 611 713 1455 806
## [1574] 612 547 385 532 503 285 1443 242 328 760 206 216 1176
## [1587] 1077 709 1175 407 1624 684 894 1545 1355 1402 1695 1090 676
## [1600] 1492 1424 936 1406 1527 394 1257 975 1144 440 206 883 47
## [1613] 734 236 422 833 327 1693 512 1426 181 350 1620 842 187
## [1626] 1588 1497 1489 1305 1602 582 1659 1114 285 1363 845 1276 991
## [1639] 1306 535 1037 311 1025 436 993 1424 1213 1408 196 1291 410
## [1652] 1141 1429 1566 546 1288 1268 1678 198 1352 1446 1707 1441 861
## [1665] 845 1676 1602 1476 1403 433 1726 198 1494 896 1265 464 799
## [1678] 873 554 822 410 686 278 724 1378 199 887 645 1578 1320
## [1691] 1184 122 492 554 278 339 282 362 757 590 1304 546 211
## [1704] 638 1605 1724 1333 441 1298 315 258 1074 1327 1525 1623 1362
## [1717] 206 1572 1591 1700 75 1003 1582 685 1283 247 1197 1352
##
## $btree
## n= 1728
##
## node), split, n, loss, yval, (yprob)
## * denotes terminal node
##
## 1) root 1728 554 unacc (0.23553241 0.04456019 0.67939815 0.04050926)
## 2) persons=4,more 1166 554 unacc (0.34905660 0.06603774 0.52487136 0.06003431)
## 4) safety=high,med 809 402 acc (0.50309023 0.09517923 0.31520396 0.08652658)
## 8) maint=low,med 417 188 acc (0.54916067 0.18465228 0.11990408 0.14628297)
## 16) buying=high,vhigh 186 43 acc (0.76881720 0.00000000 0.23118280 0.00000000)
## 32) safety=high 93 3 acc (0.96774194 0.00000000 0.03225806 0.00000000)
## 64) doors=3,4,5more 74 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 65) doors=2 19 3 acc (0.84210526 0.00000000 0.15789474 0.00000000)
## 130) persons=4 11 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 131) persons=more 8 3 acc (0.62500000 0.00000000 0.37500000 0.00000000)
## 262) lug_boot=big,med 5 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 263) lug_boot=small 3 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 33) safety=med 93 40 acc (0.56989247 0.00000000 0.43010753 0.00000000)
## 66) lug_boot=big,med 64 11 acc (0.82812500 0.00000000 0.17187500 0.00000000)
## 132) lug_boot=big 36 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 133) lug_boot=med 28 11 acc (0.60714286 0.00000000 0.39285714 0.00000000)
## 266) doors=4,5more 14 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 267) doors=2,3 14 3 unacc (0.21428571 0.00000000 0.78571429 0.00000000)
## 534) persons=more 7 3 unacc (0.42857143 0.00000000 0.57142857 0.00000000)
## 1068) doors=3 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1069) doors=2 4 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 535) persons=4 7 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 67) lug_boot=small 29 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 17) buying=low,med 231 145 acc (0.37229437 0.33333333 0.03030303 0.26406926)
## 34) safety=med 124 45 acc (0.63709677 0.33870968 0.02419355 0.00000000)
## 68) lug_boot=small 46 3 acc (0.93478261 0.00000000 0.06521739 0.00000000)
## 136) doors=3,4,5more 35 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 137) doors=2 11 3 acc (0.72727273 0.00000000 0.27272727 0.00000000)
## 274) persons=4 8 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 275) persons=more 3 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 69) lug_boot=big,med 78 36 good (0.46153846 0.53846154 0.00000000 0.00000000)
## 138) buying=med 43 13 acc (0.69767442 0.30232558 0.00000000 0.00000000)
## 276) maint=med 22 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 277) maint=low 21 8 good (0.38095238 0.61904762 0.00000000 0.00000000)
## 554) doors=2,3 12 4 acc (0.66666667 0.33333333 0.00000000 0.00000000)
## 1108) lug_boot=med 9 1 acc (0.88888889 0.11111111 0.00000000 0.00000000)
## 2216) persons=4 7 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2217) persons=more 2 1 acc (0.50000000 0.50000000 0.00000000 0.00000000)
## 4434) doors=2 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 4435) doors=3 1 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 1109) lug_boot=big 3 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 555) doors=4,5more 9 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 139) buying=low 35 6 good (0.17142857 0.82857143 0.00000000 0.00000000)
## 278) doors=2,3 15 6 good (0.40000000 0.60000000 0.00000000 0.00000000)
## 556) persons=4 6 1 acc (0.83333333 0.16666667 0.00000000 0.00000000)
## 1112) lug_boot=med 5 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1113) lug_boot=big 1 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 557) persons=more 9 1 good (0.11111111 0.88888889 0.00000000 0.00000000)
## 1114) lug_boot=med 4 1 good (0.25000000 0.75000000 0.00000000 0.00000000)
## 2228) doors=2 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2229) doors=3 3 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 1115) lug_boot=big 5 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 279) doors=4,5more 20 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 35) safety=high 107 46 vgood (0.06542056 0.32710280 0.03738318 0.57009346)
## 70) lug_boot=small 35 10 good (0.17142857 0.71428571 0.11428571 0.00000000)
## 140) buying=med 11 5 acc (0.54545455 0.27272727 0.18181818 0.00000000)
## 280) maint=med 7 1 acc (0.85714286 0.00000000 0.14285714 0.00000000)
## 560) doors=3,4,5more 6 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 561) doors=2 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 281) maint=low 4 1 good (0.00000000 0.75000000 0.25000000 0.00000000)
## 562) doors=3,4 3 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 563) doors=2 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 141) buying=low 24 2 good (0.00000000 0.91666667 0.08333333 0.00000000)
## 282) doors=3,4,5more 21 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 283) doors=2 3 1 unacc (0.00000000 0.33333333 0.66666667 0.00000000)
## 566) persons=4 1 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 567) persons=more 2 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 71) lug_boot=big,med 72 11 vgood (0.01388889 0.13888889 0.00000000 0.84722222)
## 142) doors=2 21 11 good (0.04761905 0.47619048 0.00000000 0.47619048)
## 284) lug_boot=med 11 1 good (0.09090909 0.90909091 0.00000000 0.00000000)
## 568) maint=med 2 1 acc (0.50000000 0.50000000 0.00000000 0.00000000)
## 1136) buying=med 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1137) buying=low 1 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 569) maint=low 9 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 285) lug_boot=big 10 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 143) doors=3,4,5more 51 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 9) maint=high,vhigh 392 187 unacc (0.45408163 0.00000000 0.52295918 0.02295918)
## 18) buying=high,low,med 300 122 acc (0.59333333 0.00000000 0.37666667 0.03000000)
## 36) maint=high 157 41 acc (0.73885350 0.00000000 0.20382166 0.05732484)
## 72) lug_boot=big,med 96 14 acc (0.85416667 0.00000000 0.05208333 0.09375000)
## 144) buying=high,med 61 5 acc (0.91803279 0.00000000 0.08196721 0.00000000)
## 288) doors=3,4,5more 49 1 acc (0.97959184 0.00000000 0.02040816 0.00000000)
## 576) doors=4,5more 32 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 577) doors=3 17 1 acc (0.94117647 0.00000000 0.05882353 0.00000000)
## 1154) persons=more 10 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1155) persons=4 7 1 acc (0.85714286 0.00000000 0.14285714 0.00000000)
## 2310) lug_boot=big 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2311) lug_boot=med 4 1 acc (0.75000000 0.00000000 0.25000000 0.00000000)
## 4622) safety=high 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 4623) safety=med 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 289) doors=2 12 4 acc (0.66666667 0.00000000 0.33333333 0.00000000)
## 578) lug_boot=big 7 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 579) lug_boot=med 5 1 unacc (0.20000000 0.00000000 0.80000000 0.00000000)
## 1158) safety=high 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1159) safety=med 4 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 145) buying=low 35 9 acc (0.74285714 0.00000000 0.00000000 0.25714286)
## 290) safety=med 21 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 291) safety=high 14 5 vgood (0.35714286 0.00000000 0.00000000 0.64285714)
## 582) lug_boot=med 8 3 acc (0.62500000 0.00000000 0.00000000 0.37500000)
## 1164) doors=2 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1165) doors=3,4 4 1 vgood (0.25000000 0.00000000 0.00000000 0.75000000)
## 2330) persons=4 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2331) persons=more 3 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 583) lug_boot=big 6 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 73) lug_boot=small 61 27 acc (0.55737705 0.00000000 0.44262295 0.00000000)
## 146) safety=high 29 6 acc (0.79310345 0.00000000 0.20689655 0.00000000)
## 292) doors=3,4,5more 20 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 293) doors=2 9 3 unacc (0.33333333 0.00000000 0.66666667 0.00000000)
## 586) persons=4 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 587) persons=more 6 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 147) safety=med 32 11 unacc (0.34375000 0.00000000 0.65625000 0.00000000)
## 294) buying=low 14 3 acc (0.78571429 0.00000000 0.21428571 0.00000000)
## 588) doors=3,4,5more 8 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 589) doors=2 6 3 acc (0.50000000 0.00000000 0.50000000 0.00000000)
## 1178) persons=4 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1179) persons=more 3 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 295) buying=high,med 18 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 37) maint=vhigh 143 62 unacc (0.43356643 0.00000000 0.56643357 0.00000000)
## 74) buying=low,med 99 37 acc (0.62626263 0.00000000 0.37373737 0.00000000)
## 148) lug_boot=big,med 52 7 acc (0.86538462 0.00000000 0.13461538 0.00000000)
## 296) lug_boot=big 27 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 297) lug_boot=med 25 7 acc (0.72000000 0.00000000 0.28000000 0.00000000)
## 594) doors=4,5more 12 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 595) doors=2,3 13 6 unacc (0.46153846 0.00000000 0.53846154 0.00000000)
## 1190) safety=high 6 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1191) safety=med 7 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 149) lug_boot=small 47 17 unacc (0.36170213 0.00000000 0.63829787 0.00000000)
## 298) safety=high 23 6 acc (0.73913043 0.00000000 0.26086957 0.00000000)
## 596) doors=3,4,5more 13 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 597) doors=2 10 4 unacc (0.40000000 0.00000000 0.60000000 0.00000000)
## 1194) persons=4 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1195) persons=more 6 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 299) safety=med 24 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 75) buying=high 44 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 19) buying=vhigh 92 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 5) safety=low 357 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 3) persons=2 562 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##
## attr(,"class")
## class
## "sclass"
##
## $mtrees[[22]]
## $bindx
## [1] 1708 1454 568 532 1248 729 1110 1286 959 734 981 1620 78
## [14] 676 464 963 587 956 1317 215 319 121 717 68 1332 614
## [27] 1271 991 1707 853 678 1078 1619 1094 904 1238 1711 1095 91
## [40] 685 1274 22 38 1036 1201 317 1088 21 1508 749 1432 1441
## [53] 1282 801 985 1070 543 1212 1278 1449 1695 554 1684 511 470
## [66] 284 828 458 1176 995 1550 884 317 1417 1316 412 1003 1386
## [79] 1367 1280 1668 1102 412 916 1659 825 1249 694 355 1558 1508
## [92] 905 30 197 471 601 1564 747 1600 1078 1344 726 747 1266
## [105] 911 334 284 965 924 1397 577 1548 721 1246 1423 702 1054
## [118] 428 983 816 1331 974 270 705 706 994 652 312 777 829
## [131] 1080 1057 479 157 1425 16 376 433 1389 247 872 250 191
## [144] 236 1164 1613 142 923 160 640 1325 831 988 161 130 1699
## [157] 175 1440 1045 699 191 910 521 1578 1687 1212 426 676 562
## [170] 379 186 1117 376 817 1177 194 660 94 803 663 793 1318
## [183] 761 333 403 919 1154 1597 1535 1132 625 1410 987 544 216
## [196] 1055 362 1106 550 896 726 183 1359 1628 975 514 592 958
## [209] 268 1376 11 1533 736 1217 123 106 1319 1724 701 849 1106
## [222] 1622 1291 1518 79 1084 901 717 684 361 373 1657 1296 1572
## [235] 765 1664 698 938 431 144 1202 73 871 1395 1373 508 580
## [248] 325 1573 1559 1188 1520 1604 269 441 785 1475 1395 103 1261
## [261] 618 1504 1085 566 136 1554 702 642 1351 1406 645 1167 611
## [274] 822 1434 1275 327 826 921 800 829 821 528 1032 119 465
## [287] 824 1071 586 1483 1168 1262 932 414 1081 1148 1193 384 132
## [300] 645 1278 803 1183 1116 1023 1715 284 1159 1428 213 1228 1460
## [313] 711 568 897 563 1713 1480 1274 1375 619 1376 285 1624 589
## [326] 1333 1688 1652 1044 1313 81 292 1266 1167 1144 791 938 757
## [339] 1110 744 1196 602 1122 1446 1470 340 1549 944 1585 70 1007
## [352] 1643 486 80 1659 1153 644 1326 1460 475 1202 1085 1063 1024
## [365] 606 533 1528 155 1488 1573 796 260 1162 751 1352 181 149
## [378] 423 636 1340 933 71 1565 1535 571 1456 225 1096 1331 922
## [391] 1509 875 1092 581 34 1719 1462 376 1378 174 40 530 71
## [404] 1634 750 686 1169 1582 1295 1552 189 968 1006 27 1532 1002
## [417] 764 1511 1717 769 817 722 141 563 1589 146 1375 1266 759
## [430] 1647 1369 487 1309 693 146 725 1534 1347 1108 1685 1082 17
## [443] 1583 515 1161 845 318 854 1015 182 220 1333 306 1103 1568
## [456] 62 434 1604 1027 1373 96 992 315 1314 1350 584 1308 1608
## [469] 1667 341 1662 1164 1014 1140 1215 1640 33 1464 959 1057 450
## [482] 641 878 1159 827 1393 973 1133 321 980 538 744 592 863
## [495] 1164 175 1260 1631 1523 301 1241 1171 63 1009 635 1550 1335
## [508] 1571 674 953 179 1241 463 1111 740 900 1080 1071 856 1722
## [521] 1633 302 991 1238 571 185 968 1343 1148 904 1224 679 392
## [534] 684 1128 208 1618 968 619 37 1284 169 604 1714 132 1703
## [547] 1213 1132 1182 1673 760 1704 1240 1356 1033 5 431 784 1458
## [560] 850 151 367 1036 152 213 786 422 1070 22 624 332 753
## [573] 1559 753 716 364 1304 1357 142 1375 271 1282 1497 579 818
## [586] 522 1602 1467 488 1321 994 1598 938 1639 966 470 1026 1243
## [599] 1198 1691 496 566 174 976 124 581 998 556 1063 325 789
## [612] 1353 202 1640 1161 306 949 114 1054 1202 603 946 505 1324
## [625] 160 174 1712 1516 259 1647 585 1676 1323 557 1529 118 946
## [638] 1677 1029 970 91 1100 581 41 1681 1304 1440 171 995 1370
## [651] 390 1497 3 192 1175 952 1257 954 1067 801 1598 1201 1151
## [664] 763 626 1422 248 734 1339 224 1674 1430 1659 1266 870 1229
## [677] 1408 1338 1565 1415 1470 453 975 67 1525 736 67 1701 1256
## [690] 146 587 952 356 1520 963 563 491 536 713 1216 1528 1664
## [703] 285 234 1158 525 233 1698 742 651 114 1313 1435 1357 1612
## [716] 1230 450 810 1589 1638 1060 941 1508 452 566 1380 522 557
## [729] 985 464 241 1308 1355 919 315 1599 66 274 911 1022 905
## [742] 22 289 78 1631 541 945 727 1434 1284 1159 504 201 995
## [755] 654 1674 585 995 1679 881 652 1056 93 1361 79 76 1558
## [768] 1597 955 967 489 211 1617 1493 763 662 557 513 877 1424
## [781] 1182 905 877 1697 1267 641 324 94 1228 276 1676 487 964
## [794] 860 1133 1074 1315 1514 1667 78 441 1351 208 1660 346 1456
## [807] 1243 486 930 1641 350 205 948 783 1102 1353 1026 768 917
## [820] 372 634 1711 763 279 1543 1253 1697 562 671 786 1666 800
## [833] 1520 287 492 1390 884 343 41 64 103 1265 1349 1184 1071
## [846] 10 1153 648 152 1441 1228 1229 1094 543 309 486 124 1388
## [859] 52 537 855 1728 855 966 891 1053 1187 1421 1427 174 1434
## [872] 1573 550 595 765 1345 1042 76 1643 216 1295 487 1409 2
## [885] 1116 100 390 1600 1228 1097 1467 1063 1115 826 440 308 987
## [898] 1157 152 1396 914 355 1027 513 1487 1122 57 139 491 209
## [911] 701 134 168 870 4 1294 1007 104 1198 1593 41 294 500
## [924] 8 760 1686 1704 199 843 1462 1336 161 1468 567 150 375
## [937] 626 719 157 884 8 960 1405 649 703 1426 320 867 159
## [950] 349 1721 1281 442 1626 1504 847 1697 1582 247 356 149 1254
## [963] 1086 1187 682 604 413 432 1407 487 1521 29 366 1307 1184
## [976] 384 1022 1251 1635 359 458 504 71 1318 494 830 240 1552
## [989] 91 1009 1311 97 1085 1002 178 1154 390 619 400 1598 1239
## [1002] 603 1545 595 353 946 383 242 8 49 747 1325 1087 1531
## [1015] 1129 497 1689 491 1685 1088 1617 620 942 1261 1316 280 1247
## [1028] 1188 475 1336 1683 515 1042 1062 1306 1229 14 657 1660 1477
## [1041] 465 1249 1108 1231 1595 1560 859 784 1507 582 1376 730 262
## [1054] 31 1429 1355 1240 1608 435 1035 1632 975 570 1267 639 904
## [1067] 30 770 46 692 987 813 1264 365 1202 7 232 987 954
## [1080] 1021 583 1006 869 1622 1536 811 1472 1521 375 1613 423 949
## [1093] 1026 172 1127 662 383 141 1315 1143 1487 943 1428 755 1156
## [1106] 1234 440 1673 625 1461 1144 1028 1469 37 1194 1724 1633 1550
## [1119] 99 1171 838 517 40 1459 1332 417 1094 1119 908 1102 779
## [1132] 422 1088 897 1129 1024 228 461 37 799 194 1624 222 346
## [1145] 733 1648 1227 608 167 1226 205 1691 841 830 238 3 482
## [1158] 515 68 1116 486 428 604 117 1381 1017 761 1235 1234 1284
## [1171] 166 1562 1227 1585 243 1572 1671 342 84 1631 11 807 8
## [1184] 296 1117 219 842 795 1363 1460 977 704 226 697 471 484
## [1197] 784 506 214 1337 227 1468 266 892 227 1369 1238 538 1576
## [1210] 111 345 1034 1616 1424 1568 704 192 142 899 496 1223 480
## [1223] 11 567 44 849 531 1313 160 1555 569 1514 1345 706 1009
## [1236] 465 411 1252 502 750 1374 997 734 1552 426 1722 118 1667
## [1249] 722 1249 1510 691 1335 1623 659 1671 567 62 1281 1493 1033
## [1262] 1565 1154 191 480 1286 1510 1363 948 930 767 1058 66 1326
## [1275] 1331 867 962 351 386 706 479 1208 1208 801 919 1218 1203
## [1288] 1536 1416 1517 1206 329 796 1126 471 1083 314 658 1239 653
## [1301] 1250 985 212 955 1073 1175 340 61 977 1421 1722 891 1364
## [1314] 1530 566 1419 89 309 1071 1607 484 520 520 213 644 1466
## [1327] 1247 1259 1634 881 140 948 1357 1483 1541 77 727 1682 394
## [1340] 342 129 1633 1113 389 1454 19 845 11 254 223 961 1677
## [1353] 971 1303 222 938 68 360 1704 1414 28 398 1115 389 874
## [1366] 1176 1071 931 404 1292 219 573 1001 1662 1161 1281 1098 313
## [1379] 1449 1566 751 1115 1518 1681 1154 1673 644 1675 1658 1177 1157
## [1392] 746 1252 882 561 1220 17 795 21 738 399 1013 31 56
## [1405] 1721 273 1293 1635 411 1451 521 1162 764 387 466 1680 1146
## [1418] 1653 225 120 523 871 1649 310 476 300 813 979 1327 1309
## [1431] 365 74 378 1522 633 1374 964 952 1137 566 683 1566 854
## [1444] 467 331 1361 121 1051 1514 893 1661 810 676 302 1098 1685
## [1457] 545 640 746 87 1708 463 1319 695 245 1504 157 1334 212
## [1470] 169 772 467 241 480 109 320 815 1421 1428 543 217 1135
## [1483] 1163 1 782 1268 756 56 1685 1403 1705 1615 975 644 894
## [1496] 1728 1366 706 1170 1706 755 230 1646 1304 502 1007 1035 604
## [1509] 1169 316 550 617 621 1325 665 260 622 224 1598 608 1381
## [1522] 717 465 1680 1595 60 1488 426 734 228 572 819 1345 1114
## [1535] 1295 781 1719 949 728 29 1381 644 1697 421 1657 1053 516
## [1548] 1433 139 190 443 1067 781 911 314 1465 626 886 826 1273
## [1561] 1300 504 97 256 1380 238 417 1464 1055 324 1188 1489 709
## [1574] 1667 1709 670 939 639 381 118 354 697 999 476 204 1613
## [1587] 422 1266 782 1119 246 1356 159 1400 1232 157 525 1216 116
## [1600] 278 81 1169 41 706 277 1295 868 1301 50 2 723 43
## [1613] 76 1304 1067 904 328 1599 150 885 259 1316 341 1286 1263
## [1626] 1141 269 773 48 865 516 420 1433 639 163 512 1588 763
## [1639] 1400 1355 514 130 571 1348 1659 849 947 1554 73 878 607
## [1652] 1672 1125 1438 382 1708 845 1490 546 1328 1365 585 1375 327
## [1665] 1537 1515 896 757 1160 1518 1728 407 1696 1346 1377 1169 1230
## [1678] 1142 695 1265 1470 1032 859 242 1667 482 1072 488 885 1713
## [1691] 1543 782 764 747 1190 336 309 149 1420 900 1394 121 181
## [1704] 1046 942 962 1446 203 794 667 1406 983 539 1547 326 61
## [1717] 1478 565 974 1722 627 689 1634 914 311 895 323 1021
##
## $btree
## n= 1728
##
## node), split, n, loss, yval, (yprob)
## * denotes terminal node
##
## 1) root 1728 529 unacc (0.22569444 0.04745370 0.69386574 0.03298611)
## 2) persons=4,more 1133 529 unacc (0.34421889 0.07237423 0.53309797 0.05030891)
## 4) safety=high,med 762 372 acc (0.51181102 0.10761155 0.30577428 0.07480315)
## 8) maint=low,med 404 180 acc (0.55445545 0.20297030 0.11386139 0.12871287)
## 16) buying=high,vhigh 179 38 acc (0.78770950 0.00000000 0.21229050 0.00000000)
## 32) lug_boot=big,med 121 9 acc (0.92561983 0.00000000 0.07438017 0.00000000)
## 64) lug_boot=big 74 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 65) lug_boot=med 47 9 acc (0.80851064 0.00000000 0.19148936 0.00000000)
## 130) doors=3,4,5more 39 3 acc (0.92307692 0.00000000 0.07692308 0.00000000)
## 260) doors=4,5more 29 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 261) doors=3 10 3 acc (0.70000000 0.00000000 0.30000000 0.00000000)
## 522) persons=more 6 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 523) persons=4 4 1 unacc (0.25000000 0.00000000 0.75000000 0.00000000)
## 1046) safety=high 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1047) safety=med 3 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 131) doors=2 8 2 unacc (0.25000000 0.00000000 0.75000000 0.00000000)
## 262) safety=high 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 263) safety=med 6 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 33) lug_boot=small 58 29 acc (0.50000000 0.00000000 0.50000000 0.00000000)
## 66) safety=high 31 2 acc (0.93548387 0.00000000 0.06451613 0.00000000)
## 132) doors=3,4,5more 24 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 133) doors=2 7 2 acc (0.71428571 0.00000000 0.28571429 0.00000000)
## 266) persons=4 5 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 267) persons=more 2 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 67) safety=med 27 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 17) buying=low,med 225 142 acc (0.36888889 0.36444444 0.03555556 0.23111111)
## 34) safety=med 125 52 acc (0.58400000 0.36800000 0.04800000 0.00000000)
## 68) lug_boot=small 43 6 acc (0.86046512 0.00000000 0.13953488 0.00000000)
## 136) doors=3,4,5more 33 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 137) doors=2 10 4 unacc (0.40000000 0.00000000 0.60000000 0.00000000)
## 274) persons=4 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 275) persons=more 6 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 69) lug_boot=big,med 82 36 good (0.43902439 0.56097561 0.00000000 0.00000000)
## 138) doors=2 20 2 acc (0.90000000 0.10000000 0.00000000 0.00000000)
## 276) lug_boot=med 15 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 277) lug_boot=big 5 2 acc (0.60000000 0.40000000 0.00000000 0.00000000)
## 554) buying=med 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 555) buying=low 2 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 139) doors=3,4,5more 62 18 good (0.29032258 0.70967742 0.00000000 0.00000000)
## 278) maint=med 24 10 acc (0.58333333 0.41666667 0.00000000 0.00000000)
## 556) buying=med 14 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 557) buying=low 10 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 279) maint=low 38 4 good (0.10526316 0.89473684 0.00000000 0.00000000)
## 558) doors=3 15 4 good (0.26666667 0.73333333 0.00000000 0.00000000)
## 1116) persons=4 7 3 acc (0.57142857 0.42857143 0.00000000 0.00000000)
## 2232) lug_boot=med 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2233) lug_boot=big 3 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 1117) persons=more 8 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 559) doors=4,5more 23 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 35) safety=high 100 48 vgood (0.10000000 0.36000000 0.02000000 0.52000000)
## 70) lug_boot=small 32 9 good (0.21875000 0.71875000 0.06250000 0.00000000)
## 140) maint=med 10 3 acc (0.70000000 0.20000000 0.10000000 0.00000000)
## 280) buying=med 7 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 281) buying=low 3 1 good (0.00000000 0.66666667 0.33333333 0.00000000)
## 562) doors=3,4 2 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 563) doors=2 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 141) maint=low 22 1 good (0.00000000 0.95454545 0.04545455 0.00000000)
## 282) doors=3,4,5more 20 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 283) doors=2 2 1 good (0.00000000 0.50000000 0.50000000 0.00000000)
## 566) persons=4 1 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 567) persons=more 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 71) lug_boot=big,med 68 16 vgood (0.04411765 0.19117647 0.00000000 0.76470588)
## 142) doors=2,3 33 16 vgood (0.09090909 0.39393939 0.00000000 0.51515152)
## 284) lug_boot=med 20 7 good (0.15000000 0.65000000 0.00000000 0.20000000)
## 568) persons=4 12 3 good (0.25000000 0.75000000 0.00000000 0.00000000)
## 1136) maint=med 5 2 acc (0.60000000 0.40000000 0.00000000 0.00000000)
## 2272) buying=med 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2273) buying=low 2 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 1137) maint=low 7 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 569) persons=more 8 4 good (0.00000000 0.50000000 0.00000000 0.50000000)
## 1138) doors=2 4 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 1139) doors=3 4 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 285) lug_boot=big 13 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 143) doors=4,5more 35 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 9) maint=high,vhigh 358 171 unacc (0.46368715 0.00000000 0.52234637 0.01396648)
## 18) buying=high,low,med 275 109 acc (0.60363636 0.00000000 0.37818182 0.01818182)
## 36) lug_boot=big,med 190 50 acc (0.73684211 0.00000000 0.23684211 0.02631579)
## 72) buying=low,med 122 18 acc (0.85245902 0.00000000 0.10655738 0.04098361)
## 144) doors=4,5more 57 1 acc (0.98245614 0.00000000 0.00000000 0.01754386)
## 288) maint=vhigh 35 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 289) maint=high 22 1 acc (0.95454545 0.00000000 0.00000000 0.04545455)
## 578) buying=med 15 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 579) buying=low 7 1 acc (0.85714286 0.00000000 0.00000000 0.14285714)
## 1158) safety=med 6 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1159) safety=high 1 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 145) doors=2,3 65 17 acc (0.73846154 0.00000000 0.20000000 0.06153846)
## 290) safety=high 30 4 acc (0.86666667 0.00000000 0.00000000 0.13333333)
## 580) lug_boot=med 15 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 581) lug_boot=big 15 4 acc (0.73333333 0.00000000 0.00000000 0.26666667)
## 1162) buying=med 8 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1163) buying=low 7 3 vgood (0.42857143 0.00000000 0.00000000 0.57142857)
## 2326) maint=vhigh 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2327) maint=high 4 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 291) safety=med 35 13 acc (0.62857143 0.00000000 0.37142857 0.00000000)
## 582) lug_boot=big 14 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 583) lug_boot=med 21 8 unacc (0.38095238 0.00000000 0.61904762 0.00000000)
## 1166) persons=more 14 6 acc (0.57142857 0.00000000 0.42857143 0.00000000)
## 2332) doors=3 7 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2333) doors=2 7 1 unacc (0.14285714 0.00000000 0.85714286 0.00000000)
## 4666) buying=low 3 1 unacc (0.33333333 0.00000000 0.66666667 0.00000000)
## 9332) maint=high 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 9333) maint=vhigh 2 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 4667) buying=med 4 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 1167) persons=4 7 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 73) buying=high 68 32 acc (0.52941176 0.00000000 0.47058824 0.00000000)
## 146) maint=high 43 7 acc (0.83720930 0.00000000 0.16279070 0.00000000)
## 292) lug_boot=big 22 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 293) lug_boot=med 21 7 acc (0.66666667 0.00000000 0.33333333 0.00000000)
## 586) doors=4,5more 13 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 587) doors=2,3 8 1 unacc (0.12500000 0.00000000 0.87500000 0.00000000)
## 1174) safety=high 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1175) safety=med 7 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 147) maint=vhigh 25 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 37) lug_boot=small 85 26 unacc (0.30588235 0.00000000 0.69411765 0.00000000)
## 74) safety=high 36 14 acc (0.61111111 0.00000000 0.38888889 0.00000000)
## 148) buying=low,med 22 4 acc (0.81818182 0.00000000 0.18181818 0.00000000)
## 296) doors=3,4,5more 15 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 297) doors=2 7 3 unacc (0.42857143 0.00000000 0.57142857 0.00000000)
## 594) persons=4 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 595) persons=more 4 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 149) buying=high 14 4 unacc (0.28571429 0.00000000 0.71428571 0.00000000)
## 298) maint=high 5 1 acc (0.80000000 0.00000000 0.20000000 0.00000000)
## 596) doors=3,4,5more 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 597) doors=2 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 299) maint=vhigh 9 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 75) safety=med 49 4 unacc (0.08163265 0.00000000 0.91836735 0.00000000)
## 150) maint=high 16 4 unacc (0.25000000 0.00000000 0.75000000 0.00000000)
## 300) buying=low 6 2 acc (0.66666667 0.00000000 0.33333333 0.00000000)
## 600) doors=3,4 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 601) doors=2 3 1 unacc (0.33333333 0.00000000 0.66666667 0.00000000)
## 1202) persons=4 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1203) persons=more 2 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 301) buying=high,med 10 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 151) maint=vhigh 33 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 19) buying=vhigh 83 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 5) safety=low 371 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 3) persons=2 595 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##
## attr(,"class")
## class
## "sclass"
##
## $mtrees[[23]]
## $bindx
## [1] 1700 283 1534 571 132 1160 1073 510 1687 898 440 1497 33
## [14] 937 525 1447 246 739 416 1111 524 1003 1196 1224 452 1371
## [27] 319 211 791 1506 98 612 9 1218 46 1569 1449 1506 519
## [40] 1722 430 1353 80 1272 856 662 485 1366 1609 1235 224 1175
## [53] 851 1523 208 1465 1229 348 1340 1454 1327 1251 795 488 1658
## [66] 793 919 100 1121 1168 1136 1579 1026 27 812 421 1714 1209
## [79] 1290 186 1333 363 361 1063 879 1415 355 672 409 554 1251
## [92] 862 1220 1429 1519 1604 1432 651 125 1175 1609 1332 273 1332
## [105] 1558 1463 1046 945 794 978 512 1021 1526 499 674 1647 1477
## [118] 422 577 573 1197 673 1343 1583 955 1703 1440 1576 627 343
## [131] 655 1232 1576 1076 488 1433 1479 153 1708 836 189 1195 1615
## [144] 947 707 1273 252 703 111 1390 713 1586 1569 1534 656 291
## [157] 166 712 1242 312 497 564 1573 326 1592 1161 421 1503 736
## [170] 94 355 65 472 1096 1716 1599 1094 686 549 1182 744 1045
## [183] 1535 115 11 1139 1573 336 325 125 935 226 475 703 725
## [196] 1070 570 1002 1049 256 1694 704 114 1541 1200 305 65 1345
## [209] 47 1351 258 1324 1693 1349 442 1387 1010 117 475 781 779
## [222] 517 1189 322 1326 1649 871 399 1568 1328 1327 898 17 1371
## [235] 1264 1531 1015 1712 1252 515 1515 1185 285 71 820 1031 256
## [248] 1177 796 321 537 313 903 1090 527 1152 315 1623 764 347
## [261] 207 645 119 95 435 1382 28 53 953 586 1083 544 1206
## [274] 396 660 797 981 134 466 981 315 1454 1407 347 17 563
## [287] 872 362 1549 1399 1498 339 471 442 1290 556 1255 221 165
## [300] 1254 337 1024 914 1511 165 1237 540 1406 867 1189 814 837
## [313] 1686 568 1677 227 928 473 1470 860 1469 797 1171 1306 1048
## [326] 758 427 146 896 1431 1034 67 731 291 1395 804 29 178
## [339] 1126 929 879 420 1501 1047 1572 698 955 73 41 1180 991
## [352] 249 1571 704 1565 1380 581 1475 533 1616 846 1165 511 1578
## [365] 1463 238 683 290 1538 648 449 866 686 1145 950 1033 1268
## [378] 278 953 1262 68 1264 644 438 559 1090 1550 660 1055 1281
## [391] 1071 70 350 1377 210 666 1083 642 220 1543 77 282 911
## [404] 1613 1522 431 759 382 1405 1308 1634 1502 1335 1388 1003 1059
## [417] 726 509 1632 28 1156 1126 627 128 576 588 596 1520 829
## [430] 672 1398 619 717 1346 1091 718 1573 496 1650 1164 1319 979
## [443] 1107 1050 1437 282 767 111 1269 1606 1425 129 1405 1254 1347
## [456] 1649 474 1361 943 1635 327 438 1056 441 1524 1108 47 921
## [469] 1643 1356 441 231 957 710 1133 827 1708 597 170 60 397
## [482] 1635 98 285 1699 439 1401 417 175 1668 874 49 502 491
## [495] 1423 1696 1442 1492 1454 637 182 1162 83 39 1208 1277 1550
## [508] 1388 1038 836 1711 1670 194 1697 575 714 1129 1721 178 1192
## [521] 1580 493 1561 778 1582 1575 589 166 1252 274 1051 569 590
## [534] 487 1276 1448 1209 191 783 509 391 1416 1004 991 237 1246
## [547] 522 131 1404 957 222 861 165 1727 8 464 1522 941 1064
## [560] 1165 397 1061 1048 1159 1662 1612 1253 117 540 4 1466 705
## [573] 324 1297 574 470 727 1576 1455 127 1345 1535 849 1481 582
## [586] 1137 205 189 1288 565 706 814 305 155 884 425 267 1092
## [599] 1661 312 1335 1562 566 765 1467 494 639 731 1557 537 1539
## [612] 1046 725 827 1503 986 930 344 348 903 1717 1017 966 605
## [625] 326 1139 1425 1319 701 1445 57 651 675 1425 683 890 423
## [638] 740 1148 144 165 920 551 900 829 1359 29 484 259 995
## [651] 1205 639 285 1310 654 832 109 1273 212 703 1149 1708 1627
## [664] 475 1452 295 123 893 1646 484 1200 1505 1066 783 1145 1248
## [677] 771 832 1674 1131 939 529 631 466 1475 1657 1440 1456 417
## [690] 832 123 1635 619 349 1380 504 1575 1645 560 744 1400 178
## [703] 1239 1598 349 87 1549 1038 1026 1326 1147 413 1440 259 776
## [716] 54 605 827 1510 1268 87 1628 723 1037 695 16 1249 313
## [729] 20 74 633 357 1549 164 1582 1644 1203 27 841 1416 1196
## [742] 48 1680 825 502 1392 805 1406 1037 325 942 1502 600 579
## [755] 313 710 480 1346 1482 1393 379 1182 242 127 1068 796 1712
## [768] 666 262 1604 458 776 917 1250 94 944 1417 1679 1455 1221
## [781] 1273 680 1392 284 1416 373 1368 1156 145 1252 418 59 23
## [794] 1665 701 841 31 1625 1709 1252 1183 1192 1016 77 1464 1597
## [807] 30 1354 1389 1649 3 1293 93 1158 1703 580 1384 1161 442
## [820] 1180 26 183 633 87 398 292 1096 869 937 572 126 1479
## [833] 941 1088 1441 1357 1104 287 1699 1055 1444 77 869 1334 1492
## [846] 620 1052 795 1521 131 152 928 64 1452 188 707 138 226
## [859] 866 467 968 101 1203 771 114 799 984 6 189 1418 530
## [872] 1273 682 641 237 476 8 1016 632 1720 1284 1268 1548 253
## [885] 1454 1712 1081 97 1035 1428 857 1243 252 1617 1032 316 664
## [898] 1616 1366 907 1415 1354 1422 1631 493 382 519 1487 904 1445
## [911] 909 1552 1530 10 783 555 486 972 996 177 1428 1539 1467
## [924] 1289 122 259 176 773 1033 568 176 1498 1511 93 411 1639
## [937] 50 1265 27 585 532 964 378 987 38 1159 355 1552 805
## [950] 55 789 1170 1644 833 1258 612 848 1358 293 439 1519 7
## [963] 1715 690 991 1694 1060 1051 41 649 1144 606 1512 867 366
## [976] 394 629 1098 1421 45 411 653 842 106 951 1680 806 1102
## [989] 439 1400 641 429 1712 1123 1474 1715 651 1590 916 730 401
## [1002] 57 686 456 1328 1468 410 1623 139 1662 1102 348 1432 1446
## [1015] 553 320 748 332 382 1613 780 635 1437 413 1671 611 94
## [1028] 1213 223 923 615 1637 422 875 792 1636 541 284 977 1607
## [1041] 303 1153 153 1389 1397 1205 997 493 37 138 953 911 31
## [1054] 1405 46 906 139 1415 362 690 567 1614 688 280 675 80
## [1067] 1007 341 1619 1387 592 1198 1575 645 1551 379 357 710 626
## [1080] 132 480 783 397 49 297 379 536 1394 1562 761 972 1429
## [1093] 734 446 1483 1047 400 301 468 1373 1012 917 1545 1478 239
## [1106] 764 1029 206 1203 1367 1616 364 234 1619 1605 1019 772 829
## [1119] 561 1690 161 802 1180 1293 42 807 1528 42 1476 1496 457
## [1132] 1217 491 1664 153 43 519 72 960 766 137 1107 389 1121
## [1145] 1191 1076 248 1135 1184 648 309 1316 739 683 1146 717 478
## [1158] 1493 204 972 1277 28 231 244 1433 1390 1083 1071 526 1105
## [1171] 1368 235 930 763 1491 1038 1026 1725 1422 536 1231 1594 697
## [1184] 628 627 1382 754 1313 1558 158 990 734 1348 1519 1276 511
## [1197] 944 949 1570 785 452 1394 708 857 1000 994 415 289 1585
## [1210] 1297 156 1588 1241 1 1559 1044 1480 1380 1499 529 37 688
## [1223] 258 1588 243 197 1611 606 366 462 1687 1006 1422 1560 1348
## [1236] 929 641 612 1222 1124 317 544 750 761 286 352 292 1042
## [1249] 653 650 1610 552 1023 430 1097 447 1247 412 1646 1190 167
## [1262] 1532 959 1269 3 566 1075 1429 763 962 37 674 96 427
## [1275] 1646 322 820 481 458 1343 88 247 147 340 978 301 1622
## [1288] 1654 618 767 1016 1076 1603 66 85 16 1478 1068 674 119
## [1301] 136 507 52 274 143 913 1429 360 1643 1447 391 302 681
## [1314] 831 1684 1695 1430 1036 402 990 162 382 804 975 873 798
## [1327] 1459 1403 1426 93 745 1094 1450 1064 133 91 66 730 1054
## [1340] 71 1478 1346 69 351 423 125 812 918 905 644 1410 1004
## [1353] 354 1029 781 1218 1439 845 1539 1298 1377 655 642 1149 313
## [1366] 153 1726 1650 1277 537 808 251 50 1559 1363 357 1262 754
## [1379] 1373 1396 264 128 1331 1094 1178 1361 501 884 767 1431 1191
## [1392] 989 593 942 696 1402 1437 633 1491 1551 170 864 1485 216
## [1405] 666 296 686 634 705 143 1145 650 945 1062 1330 1242 1317
## [1418] 1449 938 1655 28 1448 63 401 695 1635 1555 713 1340 1164
## [1431] 1083 877 143 1674 622 1510 818 894 1099 387 1261 1176 855
## [1444] 121 1658 142 151 615 539 11 1576 794 1582 441 1457 1507
## [1457] 425 1417 1512 1704 55 320 130 57 1285 1426 396 178 959
## [1470] 1719 1262 245 374 1033 1099 382 854 293 591 1416 790 511
## [1483] 28 999 930 1141 1149 595 236 562 133 53 500 247 541
## [1496] 562 1350 1698 1045 494 1512 575 554 1249 776 1178 1162 130
## [1509] 1688 1206 737 612 1600 490 612 482 1572 314 637 1233 350
## [1522] 546 282 717 810 1394 865 784 1116 773 541 1574 1070 509
## [1535] 1529 1241 1023 939 590 680 896 1652 397 1568 430 279 1409
## [1548] 329 814 1369 886 227 566 1340 60 568 974 342 215 964
## [1561] 159 796 1354 1078 58 1246 1482 1290 1482 1698 663 1687 683
## [1574] 212 776 548 325 585 1268 277 368 1444 12 1378 1028 205
## [1587] 78 210 611 598 1357 956 113 1047 1210 720 1297 287 782
## [1600] 1053 813 114 963 1495 1437 1174 667 819 882 743 841 501
## [1613] 1400 1346 1441 181 419 801 763 1465 588 1189 1204 770 420
## [1626] 1604 1109 759 734 1253 459 437 1342 383 534 1169 411 509
## [1639] 619 775 1531 1177 1428 1281 162 165 1152 1106 99 1495 738
## [1652] 1371 466 923 944 84 597 433 1655 903 102 714 1083 1621
## [1665] 560 1139 1467 440 212 280 753 86 1710 1570 1312 262 777
## [1678] 421 42 127 675 1065 516 133 139 1713 552 1321 1221 1297
## [1691] 167 1711 1249 1651 21 1186 159 1013 146 1517 1713 1454 1075
## [1704] 762 1201 980 440 279 375 249 1704 1490 1709 3 1458 1422
## [1717] 1007 1018 590 963 942 661 1563 1651 901 1516 421 1245
##
## $btree
## n= 1728
##
## node), split, n, loss, yval, (yprob)
## * denotes terminal node
##
## 1) root 1728 547 unacc (0.23784722 0.04108796 0.68344907 0.03761574)
## 2) safety=high,med 1165 547 unacc (0.35278970 0.06094421 0.53047210 0.05579399)
## 4) persons=4,more 800 389 acc (0.51375000 0.08875000 0.31625000 0.08125000)
## 8) buying=low,med 404 178 acc (0.55940594 0.17574257 0.10396040 0.16089109)
## 16) maint=high,vhigh 224 59 acc (0.73660714 0.00000000 0.16964286 0.09375000)
## 32) lug_boot=big,med 143 28 acc (0.80419580 0.00000000 0.04895105 0.14685315)
## 64) safety=med 72 7 acc (0.90277778 0.00000000 0.09722222 0.00000000)
## 128) doors=3,4,5more 61 2 acc (0.96721311 0.00000000 0.03278689 0.00000000)
## 256) buying=low 36 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 257) buying=med 25 2 acc (0.92000000 0.00000000 0.08000000 0.00000000)
## 514) doors=4,5more 17 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 515) doors=3 8 2 acc (0.75000000 0.00000000 0.25000000 0.00000000)
## 1030) lug_boot=big 5 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1031) lug_boot=med 3 1 unacc (0.33333333 0.00000000 0.66666667 0.00000000)
## 2062) persons=more 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2063) persons=4 2 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 129) doors=2 11 5 acc (0.54545455 0.00000000 0.45454545 0.00000000)
## 258) lug_boot=big 5 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 259) lug_boot=med 6 1 unacc (0.16666667 0.00000000 0.83333333 0.00000000)
## 518) maint=high 3 1 unacc (0.33333333 0.00000000 0.66666667 0.00000000)
## 1036) buying=low 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1037) buying=med 2 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 519) maint=vhigh 3 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 65) safety=high 71 21 acc (0.70422535 0.00000000 0.00000000 0.29577465)
## 130) buying=med 35 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 131) buying=low 36 15 vgood (0.41666667 0.00000000 0.00000000 0.58333333)
## 262) maint=vhigh 11 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 263) maint=high 25 4 vgood (0.16000000 0.00000000 0.00000000 0.84000000)
## 526) lug_boot=med 9 4 vgood (0.44444444 0.00000000 0.00000000 0.55555556)
## 1052) doors=2 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1053) doors=3,4 6 1 vgood (0.16666667 0.00000000 0.00000000 0.83333333)
## 2106) persons=4 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2107) persons=more 5 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 527) lug_boot=big 16 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 33) lug_boot=small 81 31 acc (0.61728395 0.00000000 0.38271605 0.00000000)
## 66) safety=high 44 4 acc (0.90909091 0.00000000 0.09090909 0.00000000)
## 132) doors=3,4,5more 34 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 133) doors=2 10 4 acc (0.60000000 0.00000000 0.40000000 0.00000000)
## 266) persons=4 6 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 267) persons=more 4 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 67) safety=med 37 10 unacc (0.27027027 0.00000000 0.72972973 0.00000000)
## 134) buying=low 19 9 acc (0.52631579 0.00000000 0.47368421 0.00000000)
## 268) maint=high 10 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 269) maint=vhigh 9 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 135) buying=med 18 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 17) maint=low,med 180 109 good (0.33888889 0.39444444 0.02222222 0.24444444)
## 34) safety=med 95 39 acc (0.58947368 0.38947368 0.02105263 0.00000000)
## 68) lug_boot=small 34 2 acc (0.94117647 0.00000000 0.05882353 0.00000000)
## 136) doors=3,4,5more 29 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 137) doors=2 5 2 acc (0.60000000 0.00000000 0.40000000 0.00000000)
## 274) persons=4 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 275) persons=more 2 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 69) lug_boot=big,med 61 24 good (0.39344262 0.60655738 0.00000000 0.00000000)
## 138) buying=med 27 10 acc (0.62962963 0.37037037 0.00000000 0.00000000)
## 276) maint=med 16 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 277) maint=low 11 1 good (0.09090909 0.90909091 0.00000000 0.00000000)
## 554) lug_boot=med 2 1 acc (0.50000000 0.50000000 0.00000000 0.00000000)
## 1108) doors=3 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1109) doors=4 1 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 555) lug_boot=big 9 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 139) buying=low 34 7 good (0.20588235 0.79411765 0.00000000 0.00000000)
## 278) doors=2 12 6 acc (0.50000000 0.50000000 0.00000000 0.00000000)
## 556) lug_boot=med 6 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 557) lug_boot=big 6 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 279) doors=3,4,5more 22 1 good (0.04545455 0.95454545 0.00000000 0.00000000)
## 558) doors=3 6 1 good (0.16666667 0.83333333 0.00000000 0.00000000)
## 1116) persons=4 2 1 acc (0.50000000 0.50000000 0.00000000 0.00000000)
## 2232) lug_boot=med 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2233) lug_boot=big 1 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 1117) persons=more 4 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 559) doors=4,5more 16 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 35) safety=high 85 41 vgood (0.05882353 0.40000000 0.02352941 0.51764706)
## 70) lug_boot=small 29 6 good (0.13793103 0.79310345 0.06896552 0.00000000)
## 140) buying=med 15 6 good (0.26666667 0.60000000 0.13333333 0.00000000)
## 280) maint=med 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 281) maint=low 11 2 good (0.00000000 0.81818182 0.18181818 0.00000000)
## 562) doors=4,5more 7 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 563) doors=2 4 2 good (0.00000000 0.50000000 0.50000000 0.00000000)
## 1126) persons=4 2 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 1127) persons=more 2 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 141) buying=low 14 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 71) lug_boot=big,med 56 12 vgood (0.01785714 0.19642857 0.00000000 0.78571429)
## 142) doors=2 20 10 vgood (0.05000000 0.45000000 0.00000000 0.50000000)
## 284) lug_boot=med 10 1 good (0.10000000 0.90000000 0.00000000 0.00000000)
## 568) maint=med 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 569) maint=low 9 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 285) lug_boot=big 10 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 143) doors=3,4,5more 36 2 vgood (0.00000000 0.05555556 0.00000000 0.94444444)
## 286) doors=3 13 2 vgood (0.00000000 0.15384615 0.00000000 0.84615385)
## 572) persons=4 5 2 vgood (0.00000000 0.40000000 0.00000000 0.60000000)
## 1144) lug_boot=med 2 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 1145) lug_boot=big 3 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 573) persons=more 8 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 287) doors=4,5more 23 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 9) buying=high,vhigh 396 185 unacc (0.46717172 0.00000000 0.53282828 0.00000000)
## 18) maint=high,low,med 297 112 acc (0.62289562 0.00000000 0.37710438 0.00000000)
## 36) safety=high 159 31 acc (0.80503145 0.00000000 0.19496855 0.00000000)
## 72) maint=low,med 98 3 acc (0.96938776 0.00000000 0.03061224 0.00000000)
## 144) lug_boot=big,med 70 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 145) lug_boot=small 28 3 acc (0.89285714 0.00000000 0.10714286 0.00000000)
## 290) doors=3,4,5more 22 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 291) doors=2 6 3 acc (0.50000000 0.00000000 0.50000000 0.00000000)
## 582) persons=4 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 583) persons=more 3 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 73) maint=high 61 28 acc (0.54098361 0.00000000 0.45901639 0.00000000)
## 146) buying=high 34 1 acc (0.97058824 0.00000000 0.02941176 0.00000000)
## 292) doors=3,4,5more 28 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 293) doors=2 6 1 acc (0.83333333 0.00000000 0.16666667 0.00000000)
## 586) persons=4 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 587) persons=more 3 1 acc (0.66666667 0.00000000 0.33333333 0.00000000)
## 1174) lug_boot=big,med 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1175) lug_boot=small 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 147) buying=vhigh 27 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 37) safety=med 138 57 unacc (0.41304348 0.00000000 0.58695652 0.00000000)
## 74) lug_boot=big,med 87 30 acc (0.65517241 0.00000000 0.34482759 0.00000000)
## 148) maint=low,med 52 8 acc (0.84615385 0.00000000 0.15384615 0.00000000)
## 296) doors=4,5more 28 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 297) doors=2,3 24 8 acc (0.66666667 0.00000000 0.33333333 0.00000000)
## 594) lug_boot=big 13 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 595) lug_boot=med 11 3 unacc (0.27272727 0.00000000 0.72727273 0.00000000)
## 1190) doors=3 5 2 acc (0.60000000 0.00000000 0.40000000 0.00000000)
## 2380) persons=more 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2381) persons=4 2 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 1191) doors=2 6 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 149) maint=high 35 13 unacc (0.37142857 0.00000000 0.62857143 0.00000000)
## 298) buying=high 17 4 acc (0.76470588 0.00000000 0.23529412 0.00000000)
## 596) lug_boot=big 7 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 597) lug_boot=med 10 4 acc (0.60000000 0.00000000 0.40000000 0.00000000)
## 1194) doors=3,5more 7 1 acc (0.85714286 0.00000000 0.14285714 0.00000000)
## 2388) persons=more 5 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2389) persons=4 2 1 acc (0.50000000 0.00000000 0.50000000 0.00000000)
## 4778) doors=5more 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 4779) doors=3 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 1195) doors=2 3 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 299) buying=vhigh 18 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 75) lug_boot=small 51 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 19) maint=vhigh 99 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 5) persons=2 365 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 3) safety=low 563 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##
## attr(,"class")
## class
## "sclass"
##
## $mtrees[[24]]
## $bindx
## [1] 55 884 985 224 293 242 883 294 96 1678 1665 1030 1459
## [14] 855 1665 69 1561 1517 1509 111 204 569 464 26 56 245
## [27] 375 671 1460 681 1126 49 1265 1217 1108 833 298 1219 1672
## [40] 1081 773 746 1133 1508 1700 66 566 1673 565 955 1708 115
## [53] 1521 1339 1081 545 1430 641 1560 600 1113 973 924 999 593
## [66] 1660 1708 1660 614 1048 191 1385 1436 1347 1248 1116 1582 350
## [79] 450 1367 66 506 1227 1233 1168 3 335 879 379 957 55
## [92] 225 1086 1550 338 1536 323 986 22 131 942 1332 904 852
## [105] 1535 1032 62 1269 1148 967 263 1674 1172 259 1010 553 803
## [118] 1118 1653 1200 1531 1068 1476 389 1233 563 1510 602 58 960
## [131] 1182 224 187 1083 913 1625 1647 548 267 735 1218 1519 163
## [144] 1568 1303 21 1316 1570 765 131 576 1576 1112 1262 776 952
## [157] 514 1336 430 313 1242 1542 1473 845 1571 1108 570 564 1268
## [170] 605 994 483 1649 1426 556 120 516 363 1166 1008 237 1487
## [183] 229 196 1534 711 1403 1233 929 1261 379 320 1240 1655 10
## [196] 1145 645 481 735 1366 275 969 1357 598 1469 925 935 216
## [209] 554 1364 1660 131 416 1447 946 1341 808 695 1247 807 249
## [222] 1326 1135 957 317 1336 1119 1571 862 1472 264 152 1689 1436
## [235] 312 1345 1706 763 1266 1116 1254 929 217 284 1716 203 1003
## [248] 423 1279 1362 1274 1157 525 78 1364 1298 1263 217 1448 1077
## [261] 1569 796 1042 699 546 1563 517 341 709 994 1473 1695 91
## [274] 479 82 1053 942 1632 1192 1660 780 1661 559 972 69 1409
## [287] 189 547 1545 582 985 440 1333 450 1555 438 263 3 736
## [300] 1714 314 1334 763 113 1063 546 1267 606 49 333 1393 197
## [313] 1609 1687 479 612 1691 467 1278 1112 821 196 1598 378 970
## [326] 267 188 682 1487 808 1493 1699 1654 1111 1695 968 1297 1634
## [339] 169 739 1341 800 177 662 469 1680 797 837 1715 93 1680
## [352] 1086 187 1270 627 905 1398 1658 1625 642 1435 1268 1324 659
## [365] 1564 154 1629 490 1347 680 1663 140 1000 1031 728 217 860
## [378] 40 265 603 745 1450 1202 980 1179 1256 884 55 413 884
## [391] 813 1081 839 1438 504 1565 912 412 552 697 573 473 1700
## [404] 1642 855 400 487 1441 1710 596 743 1086 1047 195 516 721
## [417] 623 1467 1579 1460 1572 507 1527 1441 266 643 1378 705 973
## [430] 764 364 17 1181 216 1557 822 1347 794 445 1531 265 275
## [443] 1565 1577 1450 1378 1216 1404 783 1609 163 1685 221 388 1407
## [456] 799 1207 512 17 1436 665 1552 303 1474 865 1416 1337 1308
## [469] 363 712 1574 241 1640 1022 456 1439 460 690 1182 463 110
## [482] 495 1623 1147 1303 1409 1330 632 1652 1623 227 510 1249 463
## [495] 1375 1001 750 1065 122 202 1684 848 845 253 1169 1019 1593
## [508] 600 167 295 1222 1370 1222 123 599 1176 1041 546 416 65
## [521] 303 633 377 297 961 1543 557 407 518 779 583 1141 849
## [534] 1549 1444 343 33 201 1402 1203 779 206 1095 519 216 442
## [547] 1323 1169 771 674 1599 239 310 1037 177 1235 1205 1197 1262
## [560] 1229 477 1450 785 1000 1336 471 223 1530 1595 1504 748 73
## [573] 50 491 614 580 443 694 149 1529 649 516 640 1498 1306
## [586] 352 659 964 563 627 1617 519 1272 455 832 239 958 1268
## [599] 651 579 1505 251 471 794 547 1475 384 345 194 117 149
## [612] 911 393 1623 58 1493 540 461 1165 1001 79 553 1584 1449
## [625] 746 1275 364 1267 1506 979 176 1034 74 498 965 1508 1708
## [638] 51 163 12 1379 1067 1714 1244 582 925 872 869 704 227
## [651] 930 1583 1118 1330 504 1276 66 1101 1228 316 251 817 1024
## [664] 1520 1574 260 437 1022 1551 970 228 555 1602 1219 62 1096
## [677] 488 193 1078 819 1668 366 126 250 1690 1049 1573 607 437
## [690] 304 1306 1712 719 1633 445 1434 463 585 1719 1306 1521 1044
## [703] 808 1445 1659 1724 88 410 1522 736 914 638 717 277 680
## [716] 1492 231 399 698 581 1529 1007 1268 406 1204 1624 494 95
## [729] 317 1701 879 1065 1655 490 858 1045 900 956 1714 1449 635
## [742] 419 416 859 1105 1635 38 1169 1673 879 9 1699 686 73
## [755] 1024 186 1026 294 34 244 136 987 1255 1385 405 1321 757
## [768] 1295 934 619 1023 151 832 1151 830 1145 871 585 597 486
## [781] 402 1481 340 618 487 1149 446 144 1390 641 233 510 1065
## [794] 1063 1399 582 244 1562 34 840 1288 1113 1092 1191 309 1555
## [807] 1703 384 154 1710 533 1626 250 287 1112 934 731 491 1401
## [820] 368 809 1631 202 257 844 197 402 1505 286 465 1036 1031
## [833] 1247 402 687 1698 817 1306 1707 917 1717 1315 1328 377 1037
## [846] 727 1564 781 1292 400 9 795 414 1399 534 1667 57 1564
## [859] 609 1355 894 1500 4 202 601 657 1515 1158 1350 479 472
## [872] 1337 316 732 1152 405 1376 1096 882 688 981 284 185 1159
## [885] 565 553 1584 1705 1258 802 47 1196 1677 1596 1112 637 901
## [898] 1563 1657 427 1426 983 1152 1447 955 849 1096 1609 1259 345
## [911] 1638 282 465 130 367 1298 341 416 32 282 105 1577 1046
## [924] 1508 534 24 179 1295 39 882 1489 35 1030 1011 692 1295
## [937] 1216 164 165 1536 1417 79 483 645 316 757 1411 392 109
## [950] 1685 1461 1084 271 1370 624 1418 1084 1032 1552 929 1278 95
## [963] 287 12 1046 790 1116 1535 477 1153 967 1116 820 324 1129
## [976] 137 630 1485 41 1269 849 613 413 438 836 1712 107 868
## [989] 1064 94 581 1398 111 613 266 32 1717 941 890 495 593
## [1002] 1418 10 1240 1428 1164 1603 1545 1603 1056 738 893 513 186
## [1015] 1424 1095 175 786 921 132 1396 967 1183 260 404 1097 1700
## [1028] 1237 251 212 1372 1011 1094 1362 126 292 809 833 1683 1015
## [1041] 376 1094 504 390 751 258 608 1433 748 509 424 1629 1712
## [1054] 1597 938 838 726 480 988 138 1458 1410 812 1008 1694 1620
## [1067] 685 1555 1397 1408 1364 1406 930 473 1367 1528 1292 1380 631
## [1080] 376 925 730 1193 606 1147 1571 135 34 171 409 692 855
## [1093] 70 1525 356 861 16 2 1280 975 1512 884 629 449 1216
## [1106] 1611 1340 1198 1365 1256 949 1511 724 1471 857 1118 1195 9
## [1119] 46 600 1153 431 834 1425 300 236 1616 873 1182 983 202
## [1132] 521 1595 689 894 1686 1127 1237 1310 1298 1414 1046 760 1208
## [1145] 1449 1588 121 758 1590 350 380 814 306 1630 1276 762 1725
## [1158] 34 1366 159 212 1475 767 313 340 1069 820 63 257 238
## [1171] 1397 861 1 249 1379 1603 938 747 1344 1476 1145 1173 1302
## [1184] 109 218 1611 387 1696 713 1654 1033 1093 810 282 1645 1089
## [1197] 1219 276 384 1554 508 81 201 440 578 695 45 1563 749
## [1210] 1699 382 1276 915 1066 307 50 173 1226 1584 1100 214 1638
## [1223] 454 154 428 1012 1162 798 128 323 132 679 1389 4 194
## [1236] 370 917 968 934 1122 691 1510 1150 1283 331 1358 1671 1619
## [1249] 1504 66 401 1497 30 560 1399 1458 1611 670 701 1356 245
## [1262] 923 1201 292 1088 1126 1400 134 1166 1627 178 1548 360 1181
## [1275] 129 1183 1313 1311 858 764 271 161 267 1536 888 1208 492
## [1288] 90 1156 983 1504 1085 219 729 77 1314 156 1496 1702 184
## [1301] 1707 434 1197 854 671 591 385 1684 559 790 878 1141 746
## [1314] 33 74 765 1114 626 679 916 226 1283 1059 559 1717 1327
## [1327] 973 175 289 760 1158 664 874 689 226 989 1414 1414 613
## [1340] 672 119 461 268 536 1386 145 874 76 1501 225 1108 282
## [1353] 1073 246 243 1615 1657 1663 983 1540 1556 1672 483 1722 1680
## [1366] 328 1136 1539 489 14 1214 1532 1487 1577 1495 238 1141 829
## [1379] 1706 1649 583 1421 796 1687 235 628 333 50 90 635 478
## [1392] 784 1301 913 476 545 299 449 818 1078 369 204 817 1641
## [1405] 656 755 282 519 345 11 771 1038 650 1248 12 1105 39
## [1418] 1674 288 264 748 918 1142 1422 1554 464 1338 1665 1351 784
## [1431] 336 1049 1355 529 325 936 1599 1458 1134 12 1297 500 201
## [1444] 1139 1712 1445 1389 1644 609 184 1185 499 1554 478 1021 1497
## [1457] 1586 1404 359 186 86 1285 840 1253 1679 573 516 428 558
## [1470] 1470 147 742 1610 567 1519 1195 116 829 424 1085 963 550
## [1483] 1014 794 109 1483 1388 1060 93 31 318 444 1618 45 587
## [1496] 609 99 1477 783 607 1669 424 1420 856 432 985 251 818
## [1509] 1450 1701 557 1396 120 1141 701 177 514 1194 1491 153 744
## [1522] 638 318 191 465 1396 1039 677 1383 259 1542 246 736 550
## [1535] 29 851 744 64 1104 70 163 1111 1644 149 1214 1553 1559
## [1548] 1008 1624 363 1379 1035 959 1519 897 984 952 843 1572 833
## [1561] 1051 1432 1337 756 439 750 1506 1410 92 1328 763 1666 1035
## [1574] 1680 295 1317 234 960 281 1207 604 1386 1673 1245 390 1428
## [1587] 1103 1435 627 503 1528 579 712 299 1409 755 342 1203 1292
## [1600] 1078 1304 1517 874 500 304 1481 1301 381 736 121 898 793
## [1613] 902 539 1000 365 1653 1489 675 1449 858 357 855 107 1256
## [1626] 1544 1689 1310 1096 837 736 244 351 1118 95 1245 1077 1243
## [1639] 154 1646 622 62 659 1536 1625 553 1083 456 438 359 1569
## [1652] 1259 1448 1202 1263 683 840 1438 278 289 745 805 991 470
## [1665] 1162 821 1078 1362 527 576 1245 885 984 655 625 1441 1634
## [1678] 529 295 1680 1219 17 976 920 1264 382 1210 1094 54 1147
## [1691] 706 1609 601 682 584 1146 1491 103 736 1335 838 1469 100
## [1704] 911 969 1682 770 851 471 591 1294 355 1305 1611 435 337
## [1717] 1617 667 1287 661 143 1673 1559 1035 878 1440 1433 1434
##
## $btree
## n= 1728
##
## node), split, n, loss, yval, (yprob)
## * denotes terminal node
##
## 1) root 1728 498 unacc (0.20891204 0.03993056 0.71180556 0.03935185)
## 2) persons=4,more 1134 498 unacc (0.31834215 0.06084656 0.56084656 0.05996473)
## 4) safety=high,med 763 402 acc (0.47313237 0.09043250 0.34731324 0.08912189)
## 8) buying=low,med 375 191 acc (0.49066667 0.18400000 0.14400000 0.18133333)
## 16) maint=high,vhigh 184 63 acc (0.65760870 0.00000000 0.25543478 0.08695652)
## 32) safety=high 93 19 acc (0.79569892 0.00000000 0.03225806 0.17204301)
## 64) maint=vhigh 48 2 acc (0.95833333 0.00000000 0.04166667 0.00000000)
## 128) doors=3,4,5more 36 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 129) doors=2 12 2 acc (0.83333333 0.00000000 0.16666667 0.00000000)
## 258) lug_boot=big,med 9 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 259) lug_boot=small 3 1 unacc (0.33333333 0.00000000 0.66666667 0.00000000)
## 518) persons=4 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 519) persons=more 2 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 65) maint=high 45 17 acc (0.62222222 0.00000000 0.02222222 0.35555556)
## 130) buying=med 20 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 131) buying=low 25 9 vgood (0.32000000 0.00000000 0.04000000 0.64000000)
## 262) lug_boot=small 7 1 acc (0.85714286 0.00000000 0.14285714 0.00000000)
## 524) doors=4,5more 5 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 525) doors=2 2 1 acc (0.50000000 0.00000000 0.50000000 0.00000000)
## 1050) persons=4 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1051) persons=more 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 263) lug_boot=big,med 18 2 vgood (0.11111111 0.00000000 0.00000000 0.88888889)
## 526) doors=2 3 1 acc (0.66666667 0.00000000 0.00000000 0.33333333)
## 1052) persons=more 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1053) persons=4 1 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 527) doors=3,4,5more 15 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 33) safety=med 91 44 acc (0.51648352 0.00000000 0.48351648 0.00000000)
## 66) lug_boot=big,med 51 9 acc (0.82352941 0.00000000 0.17647059 0.00000000)
## 132) doors=4,5more 25 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 133) doors=2,3 26 9 acc (0.65384615 0.00000000 0.34615385 0.00000000)
## 266) lug_boot=big 10 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 267) lug_boot=med 16 7 unacc (0.43750000 0.00000000 0.56250000 0.00000000)
## 534) maint=high 7 1 acc (0.85714286 0.00000000 0.14285714 0.00000000)
## 1068) buying=low 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1069) buying=med 3 1 acc (0.66666667 0.00000000 0.33333333 0.00000000)
## 2138) doors=3 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2139) doors=2 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 535) maint=vhigh 9 1 unacc (0.11111111 0.00000000 0.88888889 0.00000000)
## 1070) persons=more 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1071) persons=4 8 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 67) lug_boot=small 40 5 unacc (0.12500000 0.00000000 0.87500000 0.00000000)
## 134) buying=low 13 5 unacc (0.38461538 0.00000000 0.61538462 0.00000000)
## 268) maint=high 6 1 acc (0.83333333 0.00000000 0.16666667 0.00000000)
## 536) doors=4,5more 5 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 537) doors=2 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 269) maint=vhigh 7 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 135) buying=med 27 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 17) maint=low,med 191 122 good (0.32984293 0.36125654 0.03664921 0.27225131)
## 34) safety=med 99 47 acc (0.52525253 0.42424242 0.05050505 0.00000000)
## 68) lug_boot=med,small 67 18 acc (0.73134328 0.19402985 0.07462687 0.00000000)
## 136) lug_boot=small 39 5 acc (0.87179487 0.00000000 0.12820513 0.00000000)
## 272) doors=3,4,5more 33 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 273) doors=2 6 1 unacc (0.16666667 0.00000000 0.83333333 0.00000000)
## 546) persons=4 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 547) persons=more 5 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 137) lug_boot=med 28 13 acc (0.53571429 0.46428571 0.00000000 0.00000000)
## 274) doors=2,3 14 1 acc (0.92857143 0.07142857 0.00000000 0.00000000)
## 548) doors=2 10 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 549) doors=3 4 1 acc (0.75000000 0.25000000 0.00000000 0.00000000)
## 1098) persons=4 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1099) persons=more 1 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 275) doors=4,5more 14 2 good (0.14285714 0.85714286 0.00000000 0.00000000)
## 550) maint=med 3 1 acc (0.66666667 0.33333333 0.00000000 0.00000000)
## 1100) doors=4 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1101) doors=5more 1 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 551) maint=low 11 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 69) lug_boot=big 32 3 good (0.09375000 0.90625000 0.00000000 0.00000000)
## 138) maint=med 11 3 good (0.27272727 0.72727273 0.00000000 0.00000000)
## 276) buying=med 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 277) buying=low 8 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 139) maint=low 21 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 35) safety=high 92 40 vgood (0.11956522 0.29347826 0.02173913 0.56521739)
## 70) lug_boot=med,small 58 31 good (0.18965517 0.46551724 0.03448276 0.31034483)
## 140) lug_boot=small 23 9 good (0.30434783 0.60869565 0.08695652 0.00000000)
## 280) maint=med 10 3 acc (0.70000000 0.20000000 0.10000000 0.00000000)
## 560) buying=med 8 1 acc (0.87500000 0.00000000 0.12500000 0.00000000)
## 1120) doors=3,4,5more 6 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1121) doors=2 2 1 acc (0.50000000 0.00000000 0.50000000 0.00000000)
## 2242) persons=4 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 2243) persons=more 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 561) buying=low 2 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 281) maint=low 13 1 good (0.00000000 0.92307692 0.07692308 0.00000000)
## 562) doors=3,4,5more 10 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 563) doors=2 3 1 good (0.00000000 0.66666667 0.33333333 0.00000000)
## 1126) persons=4 2 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 1127) persons=more 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 141) lug_boot=med 35 17 vgood (0.11428571 0.37142857 0.00000000 0.51428571)
## 282) doors=2,3 21 8 good (0.19047619 0.61904762 0.00000000 0.19047619)
## 564) buying=med 6 2 acc (0.66666667 0.33333333 0.00000000 0.00000000)
## 1128) maint=med 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1129) maint=low 2 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 565) buying=low 15 4 good (0.00000000 0.73333333 0.00000000 0.26666667)
## 1130) doors=2 8 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 1131) doors=3 7 3 vgood (0.00000000 0.42857143 0.00000000 0.57142857)
## 2262) persons=4 3 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 2263) persons=more 4 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 283) doors=4,5more 14 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 71) lug_boot=big 34 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 9) buying=high,vhigh 388 177 unacc (0.45618557 0.00000000 0.54381443 0.00000000)
## 18) maint=low,med 193 52 acc (0.73056995 0.00000000 0.26943005 0.00000000)
## 36) lug_boot=big,med 127 15 acc (0.88188976 0.00000000 0.11811024 0.00000000)
## 72) lug_boot=big 63 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 73) lug_boot=med 64 15 acc (0.76562500 0.00000000 0.23437500 0.00000000)
## 146) doors=4,5more 31 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 147) doors=2,3 33 15 acc (0.54545455 0.00000000 0.45454545 0.00000000)
## 294) safety=high 15 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 295) safety=med 18 3 unacc (0.16666667 0.00000000 0.83333333 0.00000000)
## 590) doors=3 9 3 unacc (0.33333333 0.00000000 0.66666667 0.00000000)
## 1180) persons=more 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1181) persons=4 6 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 591) doors=2 9 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 37) lug_boot=small 66 29 unacc (0.43939394 0.00000000 0.56060606 0.00000000)
## 74) safety=high 33 4 acc (0.87878788 0.00000000 0.12121212 0.00000000)
## 148) doors=3,4,5more 27 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 149) doors=2 6 2 unacc (0.33333333 0.00000000 0.66666667 0.00000000)
## 298) persons=4 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 299) persons=more 4 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 75) safety=med 33 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 19) maint=high,vhigh 195 36 unacc (0.18461538 0.00000000 0.81538462 0.00000000)
## 38) buying=high 99 36 unacc (0.36363636 0.00000000 0.63636364 0.00000000)
## 76) maint=high 50 14 acc (0.72000000 0.00000000 0.28000000 0.00000000)
## 152) safety=high 25 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 153) safety=med 25 11 unacc (0.44000000 0.00000000 0.56000000 0.00000000)
## 306) lug_boot=big 8 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 307) lug_boot=med,small 17 3 unacc (0.17647059 0.00000000 0.82352941 0.00000000)
## 614) lug_boot=med 8 3 unacc (0.37500000 0.00000000 0.62500000 0.00000000)
## 1228) doors=4,5more 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1229) doors=2,3 5 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 615) lug_boot=small 9 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 77) maint=vhigh 49 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 39) buying=vhigh 96 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 5) safety=low 371 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 3) persons=2 594 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##
## attr(,"class")
## class
## "sclass"
##
## $mtrees[[25]]
## $bindx
## [1] 351 72 1288 692 1489 1108 789 1086 1527 95 1233 1663 329
## [14] 271 760 661 483 155 735 12 760 747 1274 708 153 859
## [27] 301 543 922 1005 1493 408 1539 1398 294 1450 590 292 1018
## [40] 22 293 1039 1110 1696 1212 451 1442 1114 178 1585 1641 402
## [53] 1207 1412 1388 1535 283 825 1082 205 987 592 1354 1296 1510
## [66] 441 736 1248 1055 1601 1238 408 1627 53 507 1339 273 988
## [79] 1244 555 437 937 1495 783 1342 602 1428 413 786 957 1230
## [92] 1496 898 1587 150 426 1598 1225 1381 1503 1410 1385 1654 122
## [105] 118 1548 657 1067 924 63 161 586 827 636 474 1620 674
## [118] 1511 1228 442 1712 1379 1648 852 188 987 1557 633 1513 1217
## [131] 1651 1568 1136 118 70 300 1299 683 904 906 418 1540 1667
## [144] 950 91 713 205 1649 1399 675 302 1096 1625 535 1720 1142
## [157] 1166 1084 1284 1411 502 570 644 1726 216 714 1426 1678 977
## [170] 704 901 1234 193 33 650 1618 1085 327 55 1507 269 280
## [183] 138 171 1450 475 464 1728 986 69 876 594 372 300 73
## [196] 1468 512 24 480 1097 427 1206 1672 1599 1539 44 1234 1297
## [209] 1562 734 1134 1214 1560 1136 1100 27 813 174 18 1053 1148
## [222] 1538 717 785 763 584 1671 155 1534 1425 1551 1225 186 707
## [235] 1574 1543 363 1472 355 1159 124 547 1021 591 296 66 858
## [248] 1464 91 549 752 1140 548 1113 1498 7 609 444 90 1251
## [261] 1571 1090 1361 1636 1639 48 564 273 736 1206 1475 1689 1467
## [274] 1284 1161 122 137 617 1343 300 1134 712 1366 356 805 1224
## [287] 1009 688 1146 467 1441 840 1472 1605 775 57 229 965 408
## [300] 1101 350 875 288 59 607 1452 490 1552 178 100 345 268
## [313] 1529 1265 825 866 17 1304 984 1134 1235 880 308 1052 813
## [326] 1707 662 31 442 439 101 1141 1083 623 442 983 736 968
## [339] 1161 752 1434 1222 800 408 908 953 200 5 281 265 288
## [352] 1122 424 1474 1140 198 1604 1207 1564 459 797 863 1231 368
## [365] 1626 306 436 1125 876 892 103 1127 540 718 1177 1517 1251
## [378] 863 663 179 1423 1387 69 612 1617 1046 61 286 259 805
## [391] 631 1499 855 41 350 1554 957 1628 1284 1490 651 430 1543
## [404] 345 1113 506 808 1579 1651 369 1464 1587 31 1427 1447 287
## [417] 302 775 40 1610 849 1458 1412 399 533 1102 1646 1089 676
## [430] 1449 654 884 1559 21 137 1635 1560 671 1704 989 1378 922
## [443] 1387 781 1019 983 1108 1236 271 771 113 267 218 455 532
## [456] 291 1170 33 121 1017 1632 441 530 320 188 566 1044 261
## [469] 1052 926 568 1664 965 87 1164 370 50 79 266 1042 1001
## [482] 810 577 1498 679 1572 1038 1261 1004 150 156 511 134 510
## [495] 1244 742 97 1587 558 355 705 619 1108 390 1074 1035 1031
## [508] 603 1606 645 872 521 208 231 730 430 357 1692 1407 657
## [521] 1080 1616 1114 1405 915 872 863 1157 54 896 1338 1403 1689
## [534] 1378 117 450 90 468 222 1427 902 675 75 330 244 738
## [547] 751 205 84 1032 1436 1398 951 781 446 354 1483 95 1033
## [560] 1446 1270 1055 919 1664 575 1567 1621 951 1008 709 1211 357
## [573] 28 402 1598 1114 39 1241 1006 1539 1166 1174 117 1059 1526
## [586] 1356 1525 1609 1324 757 1320 1010 1107 924 1039 1050 1012 1472
## [599] 665 156 443 1316 290 719 702 1589 667 72 1415 1721 902
## [612] 335 253 667 386 1144 1209 1361 1010 1327 451 1047 767 845
## [625] 797 1659 1669 1297 537 587 1610 699 1181 829 117 458 1088
## [638] 1636 1440 404 1616 403 406 1066 1042 1565 755 68 605 981
## [651] 525 795 599 125 1682 137 1357 1682 54 970 1616 960 160
## [664] 203 222 473 1590 18 1243 1691 458 562 668 1682 100 610
## [677] 346 1659 525 723 1103 1262 1600 303 557 1357 1011 1237 829
## [690] 1597 1702 437 640 102 254 784 961 379 1615 1488 791 364
## [703] 1230 175 967 1010 642 1173 489 449 563 243 1653 357 436
## [716] 1548 1356 144 1572 1488 998 567 1551 773 592 95 1438 106
## [729] 1650 829 993 1354 1233 395 1461 357 117 142 278 402 185
## [742] 562 1724 1046 1585 463 1121 632 823 1290 1159 610 1207 1338
## [755] 1089 582 126 419 244 19 1329 212 167 552 1518 1547 676
## [768] 1088 59 1278 1252 916 1514 365 272 1439 1543 155 1117 1079
## [781] 9 1367 465 1528 1223 1459 981 1305 298 718 639 1269 194
## [794] 516 1122 1556 1354 808 1310 63 1439 681 681 442 141 1498
## [807] 587 1464 1545 51 257 1511 357 432 1633 1599 1681 333 1212
## [820] 580 1639 1573 1116 238 1102 426 1572 618 804 851 425 1203
## [833] 1060 1689 1350 1531 1398 388 577 920 1489 703 281 1385 1539
## [846] 1306 1460 66 1206 624 1266 1199 1574 381 1621 519 347 108
## [859] 543 785 1692 216 457 1093 1494 811 1203 1716 991 168 1562
## [872] 1614 1503 1179 528 289 1069 1665 281 572 444 1072 242 809
## [885] 650 1012 1097 362 814 1372 276 1248 850 419 1547 985 814
## [898] 146 1392 643 420 1535 1594 538 1206 758 350 1069 1090 1553
## [911] 1132 308 16 42 195 651 1115 1442 65 73 759 511 504
## [924] 271 786 794 1218 906 650 1545 289 186 1310 1419 315 465
## [937] 528 1152 670 476 1255 178 770 1426 1094 210 1651 1108 952
## [950] 243 102 1324 571 1342 957 235 569 1115 1313 304 907 582
## [963] 774 162 1367 1408 1632 1027 714 156 1632 176 716 1311 1623
## [976] 1327 114 392 313 1100 55 926 551 1021 441 159 1396 1278
## [989] 492 990 19 966 1728 1556 1305 3 1615 450 661 685 1431
## [1002] 975 503 1545 1724 1126 26 1280 1691 57 463 227 897 1667
## [1015] 1308 918 833 1043 355 1214 1437 1509 1617 1575 1566 372 872
## [1028] 1108 826 803 276 477 47 1581 578 1628 14 1560 664 301
## [1041] 1161 1190 745 1077 1687 1007 1370 1513 1529 9 122 1671 965
## [1054] 934 259 1686 768 561 1094 440 130 1611 1169 794 742 52
## [1067] 373 327 1628 795 249 194 680 1001 1065 915 1597 1537 61
## [1080] 1431 844 31 1003 1125 1170 672 556 1089 60 232 1149 66
## [1093] 1279 812 1411 752 1241 795 1641 455 743 934 1087 646 956
## [1106] 1429 1709 1132 483 865 221 20 575 1037 1034 1532 903 1655
## [1119] 876 384 1055 1636 1398 1613 1385 805 1105 53 1072 1219 1134
## [1132] 23 1590 724 1632 192 1471 1066 1367 184 137 457 180 647
## [1145] 433 1513 263 101 168 1118 179 930 1612 353 1103 568 711
## [1158] 1528 195 516 31 561 11 214 1220 221 569 5 1700 462
## [1171] 341 832 1584 1534 674 1662 876 729 1328 841 778 434 851
## [1184] 38 155 875 829 1515 974 355 933 1190 144 1397 622 1685
## [1197] 1256 1064 1630 907 187 465 1536 1560 14 1276 1010 1664 1722
## [1210] 311 469 799 685 1703 1164 627 281 1704 86 1515 196 25
## [1223] 916 123 1429 993 215 1331 203 701 748 1126 513 276 636
## [1236] 163 1448 1355 149 1658 721 1373 134 1103 923 1314 512 1237
## [1249] 896 722 821 412 1681 52 959 1083 1608 889 1473 1469 203
## [1262] 857 1527 1063 938 1225 672 1071 1584 450 906 10 1224 823
## [1275] 1500 780 382 762 501 337 864 1254 109 419 660 857 555
## [1288] 365 1246 1576 829 1487 1560 1654 597 33 15 1643 1064 212
## [1301] 1195 291 903 1108 291 829 574 1577 685 1436 1152 624 618
## [1314] 461 259 394 855 378 759 565 1419 640 434 376 1186 196
## [1327] 1454 696 818 499 612 110 375 1500 237 508 754 1615 674
## [1340] 1415 1143 1667 587 1381 391 949 72 546 852 1484 173 307
## [1353] 349 1114 597 487 107 1508 1260 34 943 913 992 92 958
## [1366] 1113 560 1092 301 1191 692 80 1367 1306 1532 1082 412 573
## [1379] 168 534 1464 1201 309 1071 46 1100 203 972 805 1347 535
## [1392] 1219 209 1260 308 985 593 280 1236 1341 1342 1583 1493 1274
## [1405] 610 1224 485 146 951 869 32 1176 422 1173 1180 997 892
## [1418] 18 354 708 16 92 1570 358 144 781 227 1717 1524 1319
## [1431] 1283 1328 632 228 737 104 971 57 1312 1030 1074 1297 743
## [1444] 1203 403 403 182 1502 1121 177 1406 1675 1182 601 1695 841
## [1457] 1560 909 1005 1519 217 927 1210 923 1421 1617 1173 1308 758
## [1470] 292 884 396 1056 529 976 301 1635 1187 1542 1456 738 1680
## [1483] 1536 851 1693 1590 302 1197 1534 1132 371 676 624 1657 527
## [1496] 639 606 1123 144 608 1486 181 933 1381 1041 1038 1248 1149
## [1509] 679 660 1055 1164 1708 540 1111 1502 1359 1400 1627 1097 1122
## [1522] 1062 358 1056 1621 864 602 1405 984 1290 873 83 758 1316
## [1535] 1631 1414 1158 583 1401 784 1538 939 1011 907 609 580 678
## [1548] 1039 1154 471 24 702 1667 1332 650 184 255 1180 1 61
## [1561] 1600 576 873 1025 693 1121 622 1286 1240 145 1414 938 4
## [1574] 1529 525 612 1487 660 1484 412 194 719 664 674 740 270
## [1587] 788 847 1555 716 1317 1086 1243 1475 305 1452 1706 1020 1059
## [1600] 1413 1107 248 187 1000 17 1421 663 436 1575 1397 455 1593
## [1613] 1689 109 1243 762 1453 850 151 957 1380 310 48 1131 516
## [1626] 720 404 1089 1486 973 969 1282 666 350 764 146 1628 1142
## [1639] 656 460 85 106 576 639 845 187 105 1352 1640 1055 874
## [1652] 989 1535 1281 670 506 880 1552 1012 768 1014 424 263 1680
## [1665] 62 760 735 33 1699 806 484 37 1437 1502 798 1474 126
## [1678] 670 223 1471 1556 651 876 521 541 702 1492 509 1309 1117
## [1691] 46 709 644 1534 372 29 1336 1053 777 1205 1684 514 1063
## [1704] 652 565 1423 1268 940 686 894 688 44 967 1326 586 1181
## [1717] 426 87 631 1636 8 484 525 1700 114 174 138 1694
##
## $btree
## n= 1728
##
## node), split, n, loss, yval, (yprob)
## * denotes terminal node
##
## 1) root 1728 498 unacc (0.19733796 0.04803241 0.71180556 0.04282407)
## 2) persons=4,more 1123 498 unacc (0.30365093 0.07390917 0.55654497 0.06589492)
## 4) safety=high,med 760 419 acc (0.44868421 0.10921053 0.34473684 0.09736842)
## 8) buying=low,med 382 209 acc (0.45287958 0.21727749 0.13612565 0.19371728)
## 16) maint=high,vhigh 172 52 acc (0.69767442 0.00000000 0.24418605 0.05813953)
## 32) lug_boot=big,med 95 14 acc (0.85263158 0.00000000 0.04210526 0.10526316)
## 64) buying=med 40 1 acc (0.97500000 0.00000000 0.02500000 0.00000000)
## 128) doors=3,4,5more 33 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 129) doors=2 7 1 acc (0.85714286 0.00000000 0.14285714 0.00000000)
## 258) lug_boot=big 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 259) lug_boot=med 3 1 acc (0.66666667 0.00000000 0.33333333 0.00000000)
## 518) safety=high 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 519) safety=med 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 65) buying=low 55 13 acc (0.76363636 0.00000000 0.05454545 0.18181818)
## 130) safety=med 31 3 acc (0.90322581 0.00000000 0.09677419 0.00000000)
## 260) doors=3,4,5more 23 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 261) doors=2 8 3 acc (0.62500000 0.00000000 0.37500000 0.00000000)
## 522) maint=high 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 523) maint=vhigh 4 1 unacc (0.25000000 0.00000000 0.75000000 0.00000000)
## 1046) lug_boot=big 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1047) lug_boot=med 3 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 131) safety=high 24 10 acc (0.58333333 0.00000000 0.00000000 0.41666667)
## 262) maint=vhigh 10 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 263) maint=high 14 4 vgood (0.28571429 0.00000000 0.00000000 0.71428571)
## 526) lug_boot=med 8 4 acc (0.50000000 0.00000000 0.00000000 0.50000000)
## 1052) doors=2,3 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1053) doors=4,5more 4 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 527) lug_boot=big 6 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 33) lug_boot=small 77 38 acc (0.50649351 0.00000000 0.49350649 0.00000000)
## 66) safety=high 37 4 acc (0.89189189 0.00000000 0.10810811 0.00000000)
## 132) doors=3,4,5more 24 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 133) doors=2 13 4 acc (0.69230769 0.00000000 0.30769231 0.00000000)
## 266) persons=4 9 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 267) persons=more 4 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 67) safety=med 40 6 unacc (0.15000000 0.00000000 0.85000000 0.00000000)
## 134) buying=low 15 6 unacc (0.40000000 0.00000000 0.60000000 0.00000000)
## 268) maint=high 6 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 269) maint=vhigh 9 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 135) buying=med 25 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 17) maint=low,med 210 127 good (0.25238095 0.39523810 0.04761905 0.30476190)
## 34) safety=med 89 45 acc (0.49438202 0.43820225 0.06741573 0.00000000)
## 68) lug_boot=med,small 58 18 acc (0.68965517 0.20689655 0.10344828 0.00000000)
## 136) lug_boot=small 29 6 acc (0.79310345 0.00000000 0.20689655 0.00000000)
## 272) doors=3,4,5more 21 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 273) doors=2 8 2 unacc (0.25000000 0.00000000 0.75000000 0.00000000)
## 546) persons=4 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 547) persons=more 6 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 137) lug_boot=med 29 12 acc (0.58620690 0.41379310 0.00000000 0.00000000)
## 274) doors=2 11 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 275) doors=3,4,5more 18 6 good (0.33333333 0.66666667 0.00000000 0.00000000)
## 550) persons=4 7 2 acc (0.71428571 0.28571429 0.00000000 0.00000000)
## 1100) maint=med 5 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1101) maint=low 2 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 551) persons=more 11 1 good (0.09090909 0.90909091 0.00000000 0.00000000)
## 1102) doors=4 3 1 good (0.33333333 0.66666667 0.00000000 0.00000000)
## 2204) buying=med 2 1 acc (0.50000000 0.50000000 0.00000000 0.00000000)
## 4408) maint=med 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 4409) maint=low 1 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 2205) buying=low 1 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 1103) doors=3,5more 8 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 69) lug_boot=big 31 4 good (0.12903226 0.87096774 0.00000000 0.00000000)
## 138) buying=med 11 4 good (0.36363636 0.63636364 0.00000000 0.00000000)
## 276) maint=med 4 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 277) maint=low 7 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 139) buying=low 20 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 35) safety=high 121 57 vgood (0.07438017 0.36363636 0.03305785 0.52892562)
## 70) lug_boot=small 39 10 good (0.15384615 0.74358974 0.10256410 0.00000000)
## 140) buying=med 14 8 acc (0.42857143 0.42857143 0.14285714 0.00000000)
## 280) maint=med 7 1 acc (0.85714286 0.00000000 0.14285714 0.00000000)
## 560) doors=4,5more 5 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 561) doors=2 2 1 acc (0.50000000 0.00000000 0.50000000 0.00000000)
## 1122) persons=4 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1123) persons=more 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 281) maint=low 7 1 good (0.00000000 0.85714286 0.14285714 0.00000000)
## 562) doors=3,4,5more 6 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 563) doors=2 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 141) buying=low 25 2 good (0.00000000 0.92000000 0.08000000 0.00000000)
## 282) doors=3,4,5more 18 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 283) doors=2 7 2 good (0.00000000 0.71428571 0.28571429 0.00000000)
## 566) persons=4 5 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 567) persons=more 2 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 71) lug_boot=big,med 82 18 vgood (0.03658537 0.18292683 0.00000000 0.78048780)
## 142) lug_boot=med 42 18 vgood (0.07142857 0.35714286 0.00000000 0.57142857)
## 284) doors=2,3 21 6 good (0.14285714 0.71428571 0.00000000 0.14285714)
## 568) doors=2 11 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 569) doors=3 10 6 good (0.30000000 0.40000000 0.00000000 0.30000000)
## 1138) persons=4 7 3 good (0.42857143 0.57142857 0.00000000 0.00000000)
## 2276) maint=med 4 1 acc (0.75000000 0.25000000 0.00000000 0.00000000)
## 4552) buying=med 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 4553) buying=low 1 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 2277) maint=low 3 0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
## 1139) persons=more 3 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 285) doors=4,5more 21 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 143) lug_boot=big 40 0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
## 9) buying=high,vhigh 378 168 unacc (0.44444444 0.00000000 0.55555556 0.00000000)
## 18) maint=low,med 174 42 acc (0.75862069 0.00000000 0.24137931 0.00000000)
## 36) lug_boot=big,med 111 9 acc (0.91891892 0.00000000 0.08108108 0.00000000)
## 72) lug_boot=big 61 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 73) lug_boot=med 50 9 acc (0.82000000 0.00000000 0.18000000 0.00000000)
## 146) doors=4,5more 28 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 147) doors=2,3 22 9 acc (0.59090909 0.00000000 0.40909091 0.00000000)
## 294) safety=high 11 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 295) safety=med 11 2 unacc (0.18181818 0.00000000 0.81818182 0.00000000)
## 590) persons=more 4 2 acc (0.50000000 0.00000000 0.50000000 0.00000000)
## 1180) doors=3 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1181) doors=2 2 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 591) persons=4 7 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 37) lug_boot=small 63 30 unacc (0.47619048 0.00000000 0.52380952 0.00000000)
## 74) safety=high 34 4 acc (0.88235294 0.00000000 0.11764706 0.00000000)
## 148) doors=3,4,5more 24 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 149) doors=2 10 4 acc (0.60000000 0.00000000 0.40000000 0.00000000)
## 298) persons=4 6 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 299) persons=more 4 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 75) safety=med 29 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 19) maint=high,vhigh 204 36 unacc (0.17647059 0.00000000 0.82352941 0.00000000)
## 38) buying=high 95 36 unacc (0.37894737 0.00000000 0.62105263 0.00000000)
## 76) maint=high 48 12 acc (0.75000000 0.00000000 0.25000000 0.00000000)
## 152) lug_boot=big,med 33 1 acc (0.96969697 0.00000000 0.03030303 0.00000000)
## 304) doors=3,4,5more 25 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 305) doors=2 8 1 acc (0.87500000 0.00000000 0.12500000 0.00000000)
## 610) safety=high 5 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 611) safety=med 3 1 acc (0.66666667 0.00000000 0.33333333 0.00000000)
## 1222) lug_boot=big 2 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1223) lug_boot=med 1 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 153) lug_boot=small 15 4 unacc (0.26666667 0.00000000 0.73333333 0.00000000)
## 306) safety=high 6 2 acc (0.66666667 0.00000000 0.33333333 0.00000000)
## 612) doors=4,5more 3 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 613) doors=2 3 1 unacc (0.33333333 0.00000000 0.66666667 0.00000000)
## 1226) persons=4 1 0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
## 1227) persons=more 2 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 307) safety=med 9 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 77) maint=vhigh 47 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 39) buying=vhigh 109 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 5) safety=low 363 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 3) persons=2 605 0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##
## attr(,"class")
## class
## "sclass"
##
##
## $OOB
## [1] FALSE
##
## $comb
## [1] FALSE
##
## $call
## bagging.data.frame(formula = class ~ buying + maint + doors +
## persons + lug_boot + safety, data = car_eval)
##
## attr(,"class")
## [1] "summary.bagging"
#Predict using the model
car_eval$pred_bagging<-predict(model14,x)
#Accuracy of the model
mtab<-table(car_eval$pred_bagging,car_eval$class)
confusionMatrix(mtab)
## Confusion Matrix and Statistics
##
##
## acc good unacc vgood
## acc 384 0 0 0
## good 0 69 0 0
## unacc 0 0 1210 0
## vgood 0 0 0 65
##
## Overall Statistics
##
## Accuracy : 1
## 95% CI : (0.9979, 1)
## No Information Rate : 0.7002
## P-Value [Acc > NIR] : < 2.2e-16
##
## Kappa : 1
## Mcnemar's Test P-Value : NA
##
## Statistics by Class:
##
## Class: acc Class: good Class: unacc Class: vgood
## Sensitivity 1.0000 1.00000 1.0000 1.00000
## Specificity 1.0000 1.00000 1.0000 1.00000
## Pos Pred Value 1.0000 1.00000 1.0000 1.00000
## Neg Pred Value 1.0000 1.00000 1.0000 1.00000
## Prevalence 0.2222 0.03993 0.7002 0.03762
## Detection Rate 0.2222 0.03993 0.7002 0.03762
## Detection Prevalence 0.2222 0.03993 0.7002 0.03762
## Balanced Accuracy 1.0000 1.00000 1.0000 1.00000
5)Random Forest
library(randomForest)
#Build the model
model15<-randomForest(class~buying+maint+doors+persons+lug_boot+safety,data=car_eval)
#Summarize the model
summary(model15)
## Length Class Mode
## call 3 -none- call
## type 1 -none- character
## predicted 1728 factor numeric
## err.rate 2500 -none- numeric
## confusion 20 -none- numeric
## votes 6912 matrix numeric
## oob.times 1728 -none- numeric
## classes 4 -none- character
## importance 6 -none- numeric
## importanceSD 0 -none- NULL
## localImportance 0 -none- NULL
## proximity 0 -none- NULL
## ntree 1 -none- numeric
## mtry 1 -none- numeric
## forest 14 -none- list
## y 1728 factor numeric
## test 0 -none- NULL
## inbag 0 -none- NULL
## terms 3 terms call
#Predict using the model
car_eval$pred_randomforest<-predict(model15,x)
#Accuracy of the model
mtab<-table(car_eval$pred_randomforest,car_eval$class)
confusionMatrix(mtab)
## Confusion Matrix and Statistics
##
##
## acc good unacc vgood
## acc 384 0 2 0
## good 0 69 0 0
## unacc 0 0 1208 0
## vgood 0 0 0 65
##
## Overall Statistics
##
## Accuracy : 0.9988
## 95% CI : (0.9958, 0.9999)
## No Information Rate : 0.7002
## P-Value [Acc > NIR] : < 2.2e-16
##
## Kappa : 0.9975
## Mcnemar's Test P-Value : NA
##
## Statistics by Class:
##
## Class: acc Class: good Class: unacc Class: vgood
## Sensitivity 1.0000 1.00000 0.9983 1.00000
## Specificity 0.9985 1.00000 1.0000 1.00000
## Pos Pred Value 0.9948 1.00000 1.0000 1.00000
## Neg Pred Value 1.0000 1.00000 0.9962 1.00000
## Prevalence 0.2222 0.03993 0.7002 0.03762
## Detection Rate 0.2222 0.03993 0.6991 0.03762
## Detection Prevalence 0.2234 0.03993 0.6991 0.03762
## Balanced Accuracy 0.9993 1.00000 0.9992 1.00000
6)Gradient Boosted Machine
library(gbm)
#Build the model
model16<-gbm(class~buying+maint+doors+persons+lug_boot+safety,data=car_eval,distribution="multinomial")
#Summarize the model
summary(model16)
## var rel.inf
## safety safety 53.3326631
## persons persons 44.2822912
## maint maint 1.7951761
## buying buying 0.5898697
## doors doors 0.0000000
## lug_boot lug_boot 0.0000000
#Predict using the model
probability<-predict(model16,x,n.trees=1)
car_eval$pred_gbm<-colnames(probability)[apply(probability,1,which.max)]
#Accuracy of the model
mtab<-table(car_eval$pred_gbm,car_eval$class)
mtab
##
## acc good unacc vgood
## unacc 384 69 1210 65
7)Boosted C5.0
library(C50)
#Build the model
model17<-C5.0(class~buying+maint+doors+persons+lug_boot+safety,data=car_eval,trials=10)
#Summarize the model
summary(model17)
##
## Call:
## C5.0.formula(formula = class ~ buying + maint + doors + persons +
## lug_boot + safety, data = car_eval, trials = 10)
##
##
## C5.0 [Release 2.07 GPL Edition] Mon Feb 22 15:52:20 2016
## -------------------------------
##
## Class specified by attribute `outcome'
##
## Read 1728 cases (7 attributes) from undefined.data
##
## ----- Trial 0: -----
##
## Decision tree:
##
## persons = 2: unacc (576)
## persons in {4,more}:
## :...safety = low: unacc (384)
## safety in {high,med}:
## :...buying in {high,vhigh}:
## :...maint = vhigh: unacc (96)
## : maint in {high,low,med}:
## : :...lug_boot = small:
## : :...safety = med: unacc (48)
## : : safety = high:
## : : :...maint = high:
## : : :...buying = high: acc (8/1)
## : : : buying = vhigh: unacc (8)
## : : maint in {low,med}:
## : : :...doors in {3,4,5more}: acc (24)
## : : doors = 2:
## : : :...persons = 4: acc (4)
## : : persons = more: unacc (4)
## : lug_boot in {big,med}:
## : :...maint = high:
## : :...buying = high: acc (32/3)
## : : buying = vhigh: unacc (32)
## : maint in {low,med}:
## : :...lug_boot = big: acc (64)
## : lug_boot = med:
## : :...safety = high: acc (32)
## : safety = med:
## : :...doors = 2: unacc (8)
## : doors in {4,5more}: acc (16)
## : doors = 3:
## : :...persons = 4: unacc (4)
## : persons = more: acc (4)
## buying in {low,med}:
## :...maint in {high,vhigh}:
## :...safety = high:
## : :...buying = med: acc (48/2)
## : : buying = low:
## : : :...maint = vhigh: acc (24/1)
## : : maint = high:
## : : :...lug_boot in {big,med}: vgood (16/3)
## : : lug_boot = small: acc (8/1)
## : safety = med:
## : :...lug_boot = small:
## : :...buying = med: unacc (16)
## : : buying = low:
## : : :...maint = high: acc (8/1)
## : : maint = vhigh: unacc (8)
## : lug_boot in {big,med}:
## : :...lug_boot = big: acc (32)
## : lug_boot = med:
## : :...doors in {4,5more}: acc (16)
## : doors in {2,3}:
## : :...buying = med: unacc (8/2)
## : buying = low:
## : :...maint = high: acc (4)
## : maint = vhigh: unacc (4/1)
## maint in {low,med}:
## :...safety = high:
## :...lug_boot = small:
## : :...buying = low: good (16/2)
## : : buying = med:
## : : :...maint = low: good (8/1)
## : : maint = med: acc (8/1)
## : lug_boot in {big,med}:
## : :...lug_boot = big: vgood (32)
## : lug_boot = med:
## : :...doors = 2: good (8/2)
## : doors in {4,5more}: vgood (16)
## : doors = 3:
## : :...persons = 4: good (4/1)
## : persons = more: vgood (4)
## safety = med:
## :...lug_boot = small:
## :...doors in {3,4,5more}: acc (24)
## : doors = 2:
## : :...persons = 4: acc (4)
## : persons = more: unacc (4)
## lug_boot in {big,med}:
## :...buying = med:
## :...maint = low: good (16/3)
## : maint = med: acc (16)
## buying = low:
## :...lug_boot = big: good (16)
## lug_boot = med:
## :...doors = 2: acc (4)
## doors in {4,5more}: good (8)
## doors = 3:
## :...persons = 4: acc (2)
## persons = more: good (2)
##
## ----- Trial 1: -----
##
## Decision tree:
##
## persons = 2: unacc (434.1)
## persons in {4,more}:
## :...safety = low: unacc (289.4)
## safety in {high,med}:
## :...lug_boot = small:
## :...doors = 2: unacc (218.5/13.6)
## : doors in {3,4,5more}:
## : :...safety = high: acc (72.4/27.1)
## : safety = med:
## : :...buying in {high,vhigh}: unacc (36.2)
## : buying in {low,med}: acc (36.2/13.6)
## lug_boot in {big,med}:
## :...buying in {low,med}:
## :...safety = high:
## : :...maint in {high,med,vhigh}: acc (174.5/31.7)
## : : maint = low: vgood (24.1/4.5)
## : safety = med:
## : :...maint in {high,vhigh}: acc (99.3/6.8)
## : maint in {low,med}:
## : :...buying = low: good (24.1/4.5)
## : buying = med: acc (75.2/9.8)
## buying in {high,vhigh}:
## :...maint in {low,med}: acc (96.5/9)
## maint in {high,vhigh}:
## :...buying = vhigh: unacc (48.2)
## buying = high:
## :...maint = vhigh: unacc (24.1)
## maint = high:
## :...lug_boot = big: acc (12.1)
## lug_boot = med: unacc (63.1/9.8)
##
## ----- Trial 2: -----
##
## Decision tree:
##
## persons = 2: unacc (334.4)
## persons in {4,more}:
## :...safety = low: unacc (223)
## safety in {high,med}:
## :...lug_boot = small:
## :...maint in {high,vhigh}: unacc (249.3/38.1)
## : maint in {low,med}:
## : :...doors = 2:
## : :...persons = 4: acc (36.8/10.9)
## : : persons = more: unacc (61.8)
## : doors in {3,4,5more}:
## : :...safety = med: acc (27.9/13.9)
## : safety = high:
## : :...buying in {high,vhigh}: acc (13.9)
## : buying in {low,med}: good (55.2/3.5)
## lug_boot in {big,med}:
## :...buying in {high,vhigh}:
## :...maint = vhigh: unacc (37.2)
## : maint in {high,low,med}:
## : :...safety = high: acc (74.1/9.3)
## : safety = med:
## : :...doors in {4,5more}: acc (37/4.6)
## : doors in {2,3}:
## : :...lug_boot = big: acc (13.9/2.3)
## : lug_boot = med: unacc (83.1/5.2)
## buying in {low,med}:
## :...safety = high:
## :...maint = low: good (32.3/15.1)
## : maint in {high,med,vhigh}:
## : :...lug_boot = big:
## : :...maint in {high,med}: vgood (73.6/4.6)
## : : maint = vhigh: acc (9.3)
## : lug_boot = med:
## : :...doors in {2,3}: acc (106.4/17.2)
## : doors in {4,5more}: vgood (41.5/7)
## safety = med:
## :...maint in {high,vhigh}:
## :...doors = 2: unacc (23/5.8)
## : doors in {3,4,5more}: acc (74.1/8.6)
## maint in {low,med}:
## :...lug_boot = big: good (36.9/4.6)
## lug_boot = med:
## :...doors in {2,3}: acc (64.7/4)
## doors in {4,5more}: good (18.5/2.3)
##
## ----- Trial 3: -----
##
## Decision tree:
##
## persons = 2: unacc (259.2)
## persons in {4,more}:
## :...buying in {high,vhigh}:
## :...maint = vhigh: unacc (86.1)
## : maint in {high,low,med}:
## : :...safety = low: unacc (64.8)
## : safety = high:
## : :...maint in {low,med}: acc (50.3/1.8)
## : : maint = high:
## : : :...buying = high: acc (51.3/10.6)
## : : buying = vhigh: unacc (53)
## : safety = med:
## : :...lug_boot = small: unacc (76.8)
## : lug_boot in {big,med}:
## : :...doors = 2: unacc (49.3/4.5)
## : doors in {3,4,5more}:
## : :...maint = high: unacc (52/16.3)
## : maint in {low,med}: acc (36.6/8.9)
## buying in {low,med}:
## :...safety = low: unacc (86.4)
## safety in {high,med}:
## :...lug_boot = small:
## :...maint in {high,vhigh}:
## : :...persons = 4:
## : : :...safety = high: acc (47.9)
## : : : safety = med: unacc (33.4/12)
## : : persons = more:
## : : :...doors = 2: unacc (54.4)
## : : doors in {3,4,5more}:
## : : :...safety = high: acc (29.1)
## : : safety = med: unacc (27.3/7.3)
## : maint in {low,med}:
## : :...safety = med: acc (21.5/1.8)
## : safety = high:
## : :...doors in {3,4,5more}: good (54.6/14.5)
## : doors = 2:
## : :...persons = 4: good (16.4/2.2)
## : persons = more: unacc (42.5)
## lug_boot in {big,med}:
## :...safety = high:
## :...maint in {high,vhigh}:
## : :...buying = med: acc (45.9)
## : : buying = low:
## : : :...lug_boot = big: vgood (21.4/3.6)
## : : lug_boot = med: acc (57/13.6)
## : maint in {low,med}:
## : :...lug_boot = big: vgood (74.4)
## : lug_boot = med:
## : :...doors in {4,5more}: vgood (37.2)
## : doors in {2,3}:
## : :...buying = low: good (28/7.1)
## : buying = med: acc (45.7/13.8)
## safety = med:
## :...maint in {high,vhigh}:
## :...lug_boot = big: acc (30.2)
## : lug_boot = med:
## : :...persons = 4: unacc (27.3/6.5)
## : persons = more: acc (45/6.7)
## maint in {low,med}:
## :...maint = med: acc (45.4/7.8)
## maint = low:
## :...lug_boot = big: good (21.4)
## lug_boot = med:
## :...doors in {2,3}: acc (45.7/7.1)
## doors in {4,5more}: good (10.7)
##
## ----- Trial 4: -----
##
## Decision tree:
##
## persons = 2: unacc (200.4)
## persons in {4,more}:
## :...buying in {high,vhigh}:
## :...safety = low: unacc (66.8)
## : safety in {high,med}:
## : :...maint = vhigh: unacc (49.9)
## : maint in {high,low,med}:
## : :...lug_boot = big:
## : :...buying = high: acc (62.8)
## : : buying = vhigh:
## : : :...maint = high: unacc (29.9)
## : : maint in {low,med}: acc (26.5)
## : lug_boot in {med,small}:
## : :...buying = vhigh: unacc (111.5/19.7)
## : buying = high:
## : :...doors in {2,3}: unacc (113.6/34.1)
## : doors in {4,5more}: acc (63/16.4)
## buying in {low,med}:
## :...maint in {high,vhigh}:
## :...safety = low: unacc (33.4)
## : safety = high:
## : :...lug_boot = small:
## : : :...doors = 2: unacc (47.4/14.6)
## : : : doors in {3,4,5more}: acc (44.9)
## : : lug_boot in {big,med}:
## : : :...maint = vhigh: acc (54)
## : : maint = high:
## : : :...buying = med: acc (23.9)
## : : buying = low:
## : : :...doors in {2,3}: acc (40/15.3)
## : : doors in {4,5more}: vgood (30.8)
## : safety = med:
## : :...lug_boot = big: acc (23.3)
## : lug_boot in {med,small}:
## : :...doors = 2: unacc (49.8/16.5)
## : doors in {3,4,5more}:
## : :...lug_boot = med: acc (76.4/10.9)
## : lug_boot = small:
## : :...buying = low: acc (47.3/10.3)
## : buying = med: unacc (20.7)
## maint in {low,med}:
## :...safety = low: unacc (33.4)
## safety = high:
## :...lug_boot in {big,med}:
## : :...lug_boot = big: vgood (57.5)
## : : lug_boot = med:
## : : :...doors = 2: good (39.1/16.4)
## : : doors in {3,4,5more}: vgood (77.5/19.5)
## : lug_boot = small:
## : :...doors = 2: unacc (49.7/16.9)
## : doors in {3,4,5more}:
## : :...buying = low: good (20.7)
## : buying = med: acc (47.3/10.3)
## safety = med:
## :...lug_boot = small: unacc (32/15.2)
## lug_boot in {big,med}:
## :...buying = low: good (77.1/10.3)
## buying = med:
## :...maint = med: acc (23.9)
## maint = low:
## :...lug_boot = big: good (13.8)
## lug_boot = med: acc (40/15.3)
##
## ----- Trial 5: -----
##
## Decision tree:
##
## persons = 2: unacc (158.5)
## persons in {4,more}:
## :...buying in {low,med}:
## :...safety = low: unacc (52.8)
## : safety = high:
## : :...lug_boot = small:
## : : :...maint = low: good (55.1/13)
## : : : maint in {high,med,vhigh}:
## : : : :...persons = 4: acc (72.9/9.8)
## : : : persons = more:
## : : : :...doors = 2: unacc (38.9)
## : : : doors in {3,4,5more}: acc (36.5/4.1)
## : : lug_boot in {big,med}:
## : : :...maint = low: vgood (69.2/23.9)
## : : maint = vhigh: acc (42.7)
## : : maint in {high,med}:
## : : :...buying = low: vgood (103.8/30.9)
## : : buying = med:
## : : :...maint = high: acc (18.9)
## : : maint = med:
## : : :...lug_boot = big: vgood (10.9)
## : : lug_boot = med: acc (42.9/12.1)
## : safety = med:
## : :...maint in {high,vhigh}:
## : :...lug_boot = big: acc (18.4)
## : : lug_boot in {med,small}:
## : : :...maint = high: acc (103.2/27)
## : : maint = vhigh:
## : : :...lug_boot = small: unacc (31.9)
## : : lug_boot = med:
## : : :...doors = 2: unacc (12.2)
## : : doors in {3,4,5more}: acc (38.7/11.4)
## : maint in {low,med}:
## : :...lug_boot = small: acc (85.8/13.2)
## : lug_boot in {big,med}:
## : :...doors = 2: acc (41.5/9.9)
## : doors in {3,4,5more}:
## : :...persons = more: good (57.5/7.7)
## : persons = 4:
## : :...doors = 3: acc (20.7/4.9)
## : doors in {4,5more}: good (30.5/5.9)
## buying in {high,vhigh}:
## :...safety = low: unacc (52.8)
## safety in {high,med}:
## :...maint = vhigh: unacc (39.4)
## maint in {high,low,med}:
## :...lug_boot = small:
## :...safety = med: unacc (74.9)
## : safety = high:
## : :...persons = 4: acc (52.3/4.4)
## : persons = more:
## : :...doors = 2: unacc (24.9)
## : doors in {3,4,5more}: acc (31.2/4.1)
## lug_boot in {big,med}:
## :...maint = high:
## :...buying = high: acc (98.1/19.5)
## : buying = vhigh: unacc (42.5)
## maint in {low,med}:
## :...safety = high: acc (68.5)
## safety = med:
## :...lug_boot = big: acc (33.1)
## lug_boot = med:
## :...doors in {2,3}: unacc (45.4/15.7)
## doors in {4,5more}: acc (21.4)
##
## ----- Trial 6: -----
##
## Decision tree:
##
## buying in {high,vhigh}:
## :...persons = 2: unacc (62.3)
## : persons in {4,more}:
## : :...safety = low: unacc (41.5)
## : safety in {high,med}:
## : :...maint = vhigh: unacc (31)
## : maint in {low,med}:
## : :...lug_boot in {big,med}: acc (152.5/23.4)
## : : lug_boot = small:
## : : :...safety = high: acc (54.1/10.4)
## : : safety = med: unacc (48.8)
## : maint = high:
## : :...buying = vhigh: unacc (73.2)
## : buying = high:
## : :...lug_boot = big: acc (22.6)
## : lug_boot in {med,small}:
## : :...safety = high: acc (40.3/8.9)
## : safety = med: unacc (63.5/23.1)
## buying in {low,med}:
## :...maint in {high,vhigh}:
## :...safety = high:
## : :...persons = 2: unacc (10.4)
## : : persons = 4: acc (92.9/15.5)
## : : persons = more:
## : : :...lug_boot = small: unacc (34.4/14)
## : : lug_boot in {big,med}:
## : : :...maint = high: vgood (41.8/18.1)
## : : maint = vhigh: acc (16.8)
## : safety in {low,med}:
## : :...safety = low: unacc (31.1)
## : safety = med:
## : :...buying = low:
## : :...maint = high: acc (66.1/13.3)
## : : maint = vhigh: unacc (49.8/14.4)
## : buying = med:
## : :...lug_boot = small: unacc (50.9)
## : lug_boot in {big,med}:
## : :...doors in {2,3}: unacc (56.5/15.7)
## : doors in {4,5more}: acc (14.7/1.7)
## maint in {low,med}:
## :...safety = low: unacc (31.1)
## safety = high:
## :...lug_boot = big: vgood (39.2/3.5)
## : lug_boot = small:
## : :...buying = low: good (71.7/17.5)
## : : buying = med:
## : : :...maint = low: good (33.8/11.6)
## : : maint = med: acc (35.2/6)
## : lug_boot = med:
## : :...doors in {4,5more}: vgood (37.6/1.7)
## : doors in {2,3}:
## : :...persons = 2: unacc (1.7)
## : persons = 4: good (67.7/16.1)
## : persons = more:
## : :...doors = 2: good (29.6/8.1)
## : doors = 3: vgood (23.8)
## safety = med:
## :...lug_boot = small:
## :...doors = 2: unacc (42.8/11.8)
## : doors in {3,4,5more}: acc (47.8/2.6)
## lug_boot in {big,med}:
## :...persons = 2: unacc (6.9)
## persons in {4,more}:
## :...buying = low: good (86.8/17.8)
## buying = med:
## :...maint = low: good (57.4/15.3)
## maint = med: acc (59.7)
##
## ----- Trial 7: -----
##
## Decision tree:
##
## persons = 2: unacc (231.9)
## persons in {4,more}:
## :...buying in {high,vhigh}:
## :...safety = low: unacc (33.1)
## : safety in {high,med}:
## : :...maint = vhigh: unacc (24.7)
## : maint in {high,low,med}:
## : :...lug_boot = small:
## : :...safety = med: unacc (46.9)
## : : safety = high:
## : : :...maint = high: unacc (53.2/12.2)
## : : maint in {low,med}:
## : : :...doors = 2: unacc (27/9.4)
## : : doors in {3,4,5more}: acc (25.4)
## : lug_boot in {big,med}:
## : :...persons = more: acc (134.1/33.3)
## : persons = 4:
## : :...doors in {4,5more}: acc (40.7/7.4)
## : doors in {2,3}:
## : :...safety = high: acc (22.1/3.7)
## : safety = med:
## : :...lug_boot = big: acc (15/1.9)
## : lug_boot = med: unacc (50.9)
## buying in {low,med}:
## :...maint in {high,vhigh}:
## :...safety in {low,med}:
## : :...safety = low: unacc (16.5)
## : : safety = med:
## : : :...lug_boot = big: acc (42.2)
## : : lug_boot in {med,small}:
## : : :...buying = med: unacc (93/22.8)
## : : buying = low:
## : : :...maint = high: acc (51.7/12.5)
## : : maint = vhigh: unacc (45.9/19.7)
## : safety = high:
## : :...lug_boot = small: acc (77.2/16.2)
## : lug_boot in {big,med}:
## : :...buying = med: acc (33.5)
## : buying = low:
## : :...maint = vhigh: acc (21)
## : maint = high:
## : :...doors in {4,5more}: vgood (24.4)
## : doors in {2,3}:
## : :...lug_boot = big: vgood (14.2)
## : lug_boot = med: acc (36.1/6.6)
## maint in {low,med}:
## :...safety = low: unacc (16.5)
## safety = med:
## :...lug_boot = small:
## : :...persons = 4: acc (37)
## : : persons = more: unacc (41.9/18)
## : lug_boot in {big,med}:
## : :...lug_boot = big:
## : :...buying = low: good (39.9)
## : : buying = med: acc (42.9/17.5)
## : lug_boot = med:
## : :...doors = 2: acc (33.2)
## : doors in {3,4,5more}:
## : :...persons = 4: acc (34.8/9.2)
## : persons = more: good (34.5/12.6)
## safety = high:
## :...lug_boot = small:
## :...doors = 2:
## : :...persons = 4: good (20/5)
## : : persons = more: unacc (38.8)
## : doors in {3,4,5more}:
## : :...buying = low: good (31.7)
## : buying = med: acc (32.4/14.2)
## lug_boot in {big,med}:
## :...doors in {4,5more}: vgood (42.8)
## doors in {2,3}:
## :...lug_boot = big: vgood (14.2)
## lug_boot = med:
## :...maint = low: good (45.2/6.1)
## maint = med:
## :...buying = low: good (23.3/4.2)
## buying = med: acc (38.2/8.7)
##
## ----- Trial 8: -----
##
## Decision tree:
##
## persons = 2: unacc (183.3)
## persons in {4,more}:
## :...buying in {low,med}:
## :...maint in {high,vhigh}:
## : :...lug_boot = small:
## : : :...safety in {low,med}: unacc (81.8/19.7)
## : : : safety = high:
## : : : :...doors = 2: unacc (39.2/11.3)
## : : : doors in {3,4,5more}: acc (36.9)
## : : lug_boot in {big,med}:
## : : :...safety = low: unacc (8.7)
## : : safety = high:
## : : :...buying = med: acc (26.5)
## : : : buying = low:
## : : : :...maint = high: vgood (63.3/23.3)
## : : : maint = vhigh: acc (16.6)
## : : safety = med:
## : : :...doors in {4,5more}: acc (68.3)
## : : doors in {2,3}:
## : : :...lug_boot = big: acc (25.3)
## : : lug_boot = med:
## : : :...persons = 4: unacc (29.2/5.7)
## : : persons = more: acc (41.8/10.3)
## : maint in {low,med}:
## : :...safety = low: unacc (13.1)
## : safety = high:
## : :...lug_boot = small:
## : : :...doors in {3,4,5more}: good (71.1/14.5)
## : : : doors = 2:
## : : : :...persons = 4: good (19.8/7.9)
## : : : persons = more: unacc (30.7)
## : : lug_boot in {big,med}:
## : : :...doors in {4,5more}: vgood (33.8)
## : : doors in {2,3}:
## : : :...maint = low: good (48.7/17.8)
## : : maint = med:
## : : :...buying = low: good (24.9/9.8)
## : : buying = med: acc (37.7/14.3)
## : safety = med:
## : :...lug_boot = small: acc (101.1/18.9)
## : lug_boot in {big,med}:
## : :...lug_boot = big: good (92.4/20.1)
## : lug_boot = med:
## : :...doors = 2: acc (26.2)
## : doors in {3,4,5more}:
## : :...maint = low: good (37.5/9.2)
## : maint = med: acc (48/15.7)
## buying in {high,vhigh}:
## :...safety = low: unacc (26.1)
## safety in {high,med}:
## :...buying = vhigh:
## :...maint in {high,vhigh}: unacc (148.7)
## : maint in {low,med}:
## : :...safety = high: acc (52.8/7)
## : safety = med:
## : :...lug_boot = big: acc (8.2)
## : lug_boot in {med,small}: unacc (55/19.7)
## buying = high:
## :...lug_boot = big: acc (26.7/2.2)
## lug_boot in {med,small}:
## :...safety = high: acc (90.5/20.8)
## safety = med:
## :...doors = 2: unacc (36.8)
## doors in {3,4,5more}:
## :...lug_boot = small: unacc (24.3)
## lug_boot = med:
## :...persons = 4: unacc (25.1/9.3)
## persons = more: acc (27.8/0.4)
##
## ----- Trial 9: -----
##
## Decision tree:
##
## persons = 2: unacc (146.8)
## persons in {4,more}:
## :...buying in {high,vhigh}:
## :...safety = low: unacc (20.9)
## : safety in {high,med}:
## : :...maint = vhigh: unacc (106.9)
## : maint = high:
## : :...buying = vhigh: unacc (111.3)
## : : buying = high:
## : : :...doors = 2: unacc (36.9/11)
## : : doors in {3,4,5more}: acc (71.2/9.4)
## : maint in {low,med}:
## : :...lug_boot = big: acc (16.6)
## : lug_boot = med:
## : :...safety = high: acc (23.6)
## : : safety = med:
## : : :...doors = 2: unacc (25.8)
## : : doors in {3,4,5more}: acc (78.9/13.9)
## : lug_boot = small:
## : :...safety = med: unacc (24.6)
## : safety = high:
## : :...persons = 4: acc (24.9)
## : persons = more: unacc (32.3/8)
## buying in {low,med}:
## :...maint in {low,med}:
## :...safety = low: unacc (10.5)
## : safety = high:
## : :...lug_boot in {big,med}:
## : : :...lug_boot = big: vgood (61.3)
## : : : lug_boot = med:
## : : : :...doors = 2: good (34.2/12.5)
## : : : doors in {3,4,5more}: vgood (66.4/21.4)
## : : lug_boot = small:
## : : :...doors = 2: unacc (44.6/20.1)
## : : doors in {3,4,5more}:
## : : :...maint = low: good (28.6)
## : : maint = med: acc (46.8/16.8)
## : safety = med:
## : :...lug_boot = small:
## : :...doors = 2: unacc (41.4/12.1)
## : : doors in {3,4,5more}: acc (53.8)
## : lug_boot in {big,med}:
## : :...buying = low: good (82.4/21.4)
## : buying = med:
## : :...maint = low: good (65.1/16.8)
## : maint = med: acc (63.9)
## maint in {high,vhigh}:
## :...safety = low: unacc (10.5)
## safety = high:
## :...lug_boot = small: acc (73.5/22.3)
## : lug_boot in {big,med}:
## : :...buying = med: acc (21.2)
## : buying = low:
## : :...maint = vhigh: acc (13.3)
## : maint = high:
## : :...lug_boot = big: vgood (13.7)
## : lug_boot = med: acc (42/10.7)
## safety = med:
## :...lug_boot = big: acc (26.7)
## lug_boot in {med,small}:
## :...doors = 2:
## :...persons = 4: acc (20.8/6.4)
## : persons = more: unacc (34.4/1.6)
## doors in {3,4,5more}:
## :...lug_boot = med: acc (91.1/15)
## lug_boot = small:
## :...buying = low: acc (38.9/9)
## buying = med: unacc (20.1)
##
##
## Evaluation on training data (1728 cases):
##
## Trial Decision Tree
## ----- ----------------
## Size Errors
##
## 0 47 25( 1.4%)
## 1 16 173(10.0%)
## 2 23 192(11.1%)
## 3 34 96( 5.6%)
## 4 33 152( 8.8%)
## 5 34 77( 4.5%)
## 6 37 165( 9.5%)
## 7 40 107( 6.2%)
## 8 36 121( 7.0%)
## 9 37 84( 4.9%)
## boost 5( 0.3%) <<
##
##
## (a) (b) (c) (d) <-classified as
## ---- ---- ---- ----
## 384 (a): class acc
## 69 (b): class good
## 3 1207 (c): class unacc
## 2 63 (d): class vgood
##
##
## Attribute usage:
##
## 100.00% buying
## 100.00% persons
## 83.33% maint
## 83.33% safety
## 56.94% lug_boot
## 40.74% doors
##
##
## Time: 0.1 secs
#Predict using the model
car_eval$pred_c50<-predict(model17,x)
#Accuracy of the model
mtab<-table(car_eval$pred_c50,car_eval$class)
confusionMatrix(mtab)
## Confusion Matrix and Statistics
##
##
## acc good unacc vgood
## acc 383 0 3 2
## good 0 69 0 0
## unacc 1 0 1207 0
## vgood 0 0 0 63
##
## Overall Statistics
##
## Accuracy : 0.9965
## 95% CI : (0.9925, 0.9987)
## No Information Rate : 0.7002
## P-Value [Acc > NIR] : < 2.2e-16
##
## Kappa : 0.9924
## Mcnemar's Test P-Value : NA
##
## Statistics by Class:
##
## Class: acc Class: good Class: unacc Class: vgood
## Sensitivity 0.9974 1.00000 0.9975 0.96923
## Specificity 0.9963 1.00000 0.9981 1.00000
## Pos Pred Value 0.9871 1.00000 0.9992 1.00000
## Neg Pred Value 0.9993 1.00000 0.9942 0.99880
## Prevalence 0.2222 0.03993 0.7002 0.03762
## Detection Rate 0.2216 0.03993 0.6985 0.03646
## Detection Prevalence 0.2245 0.03993 0.6991 0.03646
## Balanced Accuracy 0.9968 1.00000 0.9978 0.98462
Data Science Repository 