#Loading up the MASS package in R
if(!require(MASS)){
install.packages("MASS")
}
## Loading required package: MASS
#Loading up the MASS package
library(MASS)
#Opening up the documentation for MASS package
#to see where the fgl data resides
help(package = "MASS")
#reading fgl dataset from MASS package
fgl_data <- fgl
#DATA DESCRIPTION
#checking out the structure of fgl data
str(fgl_data)
## 'data.frame': 214 obs. of 10 variables:
## $ RI : num 3.01 -0.39 -1.82 -0.34 -0.58 ...
## $ Na : num 13.6 13.9 13.5 13.2 13.3 ...
## $ Mg : num 4.49 3.6 3.55 3.69 3.62 3.61 3.6 3.61 3.58 3.6 ...
## $ Al : num 1.1 1.36 1.54 1.29 1.24 1.62 1.14 1.05 1.37 1.36 ...
## $ Si : num 71.8 72.7 73 72.6 73.1 ...
## $ K : num 0.06 0.48 0.39 0.57 0.55 0.64 0.58 0.57 0.56 0.57 ...
## $ Ca : num 8.75 7.83 7.78 8.22 8.07 8.07 8.17 8.24 8.3 8.4 ...
## $ Ba : num 0 0 0 0 0 0 0 0 0 0 ...
## $ Fe : num 0 0 0 0 0 0.26 0 0 0 0.11 ...
## $ type: Factor w/ 6 levels "WinF","WinNF",..: 1 1 1 1 1 1 1 1 1 1 ...
#dimensions of fgl data
dim(fgl_data)
## [1] 214 10
#number of rows in fgl data
nrow(fgl_data)
## [1] 214
#number of variables(columns) in fgl data
ncol(fgl_data)
## [1] 10
#checking out the first few entries of fgl data
head(fgl_data)
## RI Na Mg Al Si K Ca Ba Fe type
## 1 3.01 13.64 4.49 1.10 71.78 0.06 8.75 0 0.00 WinF
## 2 -0.39 13.89 3.60 1.36 72.73 0.48 7.83 0 0.00 WinF
## 3 -1.82 13.53 3.55 1.54 72.99 0.39 7.78 0 0.00 WinF
## 4 -0.34 13.21 3.69 1.29 72.61 0.57 8.22 0 0.00 WinF
## 5 -0.58 13.27 3.62 1.24 73.08 0.55 8.07 0 0.00 WinF
## 6 -2.04 12.79 3.61 1.62 72.97 0.64 8.07 0 0.26 WinF
#checking out all the factor variables in fgl data
names(Filter(is.factor,fgl_data))
## [1] "type"
#checking the number of levels of "type" column
levels(fgl_data$type)
## [1] "WinF" "WinNF" "Veh" "Con" "Tabl" "Head"
#checking frequency of other columns grouped by type
summary(subset(fgl_data,select = "type"))
## type
## WinF :70
## WinNF:76
## Veh :17
## Con :13
## Tabl : 9
## Head :29
#getting the descriptive statistics for fgl data
summary(fgl_data)
## RI Na Mg Al
## Min. :-6.8500 Min. :10.73 Min. :0.000 Min. :0.290
## 1st Qu.:-1.4775 1st Qu.:12.91 1st Qu.:2.115 1st Qu.:1.190
## Median :-0.3200 Median :13.30 Median :3.480 Median :1.360
## Mean : 0.3654 Mean :13.41 Mean :2.685 Mean :1.445
## 3rd Qu.: 1.1575 3rd Qu.:13.82 3rd Qu.:3.600 3rd Qu.:1.630
## Max. :15.9300 Max. :17.38 Max. :4.490 Max. :3.500
## Si K Ca Ba
## Min. :69.81 Min. :0.0000 Min. : 5.430 Min. :0.000
## 1st Qu.:72.28 1st Qu.:0.1225 1st Qu.: 8.240 1st Qu.:0.000
## Median :72.79 Median :0.5550 Median : 8.600 Median :0.000
## Mean :72.65 Mean :0.4971 Mean : 8.957 Mean :0.175
## 3rd Qu.:73.09 3rd Qu.:0.6100 3rd Qu.: 9.172 3rd Qu.:0.000
## Max. :75.41 Max. :6.2100 Max. :16.190 Max. :3.150
## Fe type
## Min. :0.00000 WinF :70
## 1st Qu.:0.00000 WinNF:76
## Median :0.00000 Veh :17
## Mean :0.05701 Con :13
## 3rd Qu.:0.10000 Tabl : 9
## Max. :0.51000 Head :29
#The summary of data shows that there is no
#missing value in our data
#Loading up the graphics library
if(!require(graphics)){
install.packages("graphics")
}
#loading up the graphics library
library(graphics)
#For directly referring to column names of fgl data
#we attach the data frame to R
attach(fgl_data)
#checking the colnames of our data, to be used later for
#creating histograms
colnames(fgl_data)
## [1] "RI" "Na" "Mg" "Al" "Si" "K" "Ca" "Ba" "Fe" "type"
#MODEL-BUILDING
#setting the seed to make the partitions reproducible
set.seed(1)
#building the training and testing datasets
train <- base::sample(1:nrow(fgl_data),150)
test <- -train
training_data <- fgl_data[train,]
testing_data <- fgl_data[test,]
#storing the actual outcomes from test data
#to be used later for checking accuracy of various
#models
actual_outcomes <- testing_data$type
#Building LDA model
lda_model <- lda(type ~ .,data =training_data)
lda_model
## Call:
## lda(type ~ ., data = training_data)
##
## Prior probabilities of groups:
## WinF WinNF Veh Con Tabl Head
## 0.29333333 0.37333333 0.08666667 0.04000000 0.04000000 0.16666667
##
## Group means:
## RI Na Mg Al Si K Ca
## WinF 0.9027273 13.29273 3.558864 1.128636 72.57705 0.4334091 8.851364
## WinNF 0.5621429 13.06000 2.973393 1.402679 72.65161 0.5339286 9.076607
## Veh 0.2876923 13.49769 3.554615 1.189231 72.29615 0.3961538 8.822308
## Con 2.1850000 12.92667 1.095000 1.901667 72.31333 0.6066667 10.598333
## Tabl -0.4033333 14.91333 1.266667 1.246667 73.13500 0.0000000 9.328333
## Head -0.9496000 14.39920 0.536400 2.096800 73.03640 0.3452000 8.419600
## Ba Fe
## WinF 0.00250000 0.05772727
## WinNF 0.06339286 0.07517857
## Veh 0.01153846 0.07461538
## Con 0.36666667 0.04666667
## Tabl 0.00000000 0.00000000
## Head 1.09480000 0.01240000
##
## Coefficients of linear discriminants:
## LD1 LD2 LD3 LD4 LD5
## RI -0.2893335 0.03227295 0.3093946 -0.07870664 0.6116325
## Na -2.5732194 -3.71702279 1.7095551 -6.37063018 -1.9187611
## Mg -0.9151116 -3.46751432 2.9497488 -6.44849564 -2.2633263
## Al -3.2876070 -1.77099941 3.0483586 -6.53435630 -1.0638211
## Si -2.6729942 -3.58348158 3.2829919 -6.46882179 -0.3882986
## K -2.1241841 -2.04880015 1.8141994 -7.51140280 -1.9025983
## Ca -1.2102004 -3.01471099 1.8642853 -6.74680308 -2.9156719
## Ba -2.4478024 -3.69511154 3.8422169 -5.94680350 -3.5057067
## Fe 0.7614473 -0.78686806 1.5209968 1.39236136 0.4357809
##
## Proportion of trace:
## LD1 LD2 LD3 LD4 LD5
## 0.8639 0.0750 0.0401 0.0113 0.0097
summary(lda_model)
## Length Class Mode
## prior 6 -none- numeric
## counts 6 -none- numeric
## means 54 -none- numeric
## scaling 45 -none- numeric
## lev 6 -none- character
## svd 5 -none- numeric
## N 1 -none- numeric
## call 3 -none- call
## terms 3 terms call
## xlevels 0 -none- list
#Building Classification Tree Model
#installing and loading the rpart library
if(!require(rpart)){
install.packages("rpart")
}
## Loading required package: rpart
library(rpart)
#fitting classification tree to training set
classification_tree <- rpart(type ~ .,method="class", data=training_data)
#display the results
printcp(classification_tree)
##
## Classification tree:
## rpart(formula = type ~ ., data = training_data, method = "class")
##
## Variables actually used in tree construction:
## [1] Al Ba Ca RI
##
## Root node error: 94/150 = 0.62667
##
## n= 150
##
## CP nsplit rel error xerror xstd
## 1 0.234043 0 1.00000 1.00000 0.063021
## 2 0.191489 1 0.76596 0.87234 0.064862
## 3 0.074468 2 0.57447 0.58511 0.062787
## 4 0.053191 3 0.50000 0.58511 0.062787
## 5 0.010000 5 0.39362 0.59574 0.063021
#visualize cross-validation results
plotcp(classification_tree)
#detailed summary of splits
summary(classification_tree)
## Call:
## rpart(formula = type ~ ., data = training_data, method = "class")
## n= 150
##
## CP nsplit rel error xerror xstd
## 1 0.23404255 0 1.0000000 1.0000000 0.06302088
## 2 0.19148936 1 0.7659574 0.8723404 0.06486164
## 3 0.07446809 2 0.5744681 0.5851064 0.06278699
## 4 0.05319149 3 0.5000000 0.5851064 0.06278699
## 5 0.01000000 5 0.3936170 0.5957447 0.06302088
##
## Variable importance
## Al Ba Mg Ca RI Na K Si
## 22 18 15 12 12 8 6 5
##
## Node number 1: 150 observations, complexity param=0.2340426
## predicted class=WinNF expected loss=0.6266667 P(node) =1
## class counts: 44 56 13 6 6 25
## probabilities: 0.293 0.373 0.087 0.040 0.040 0.167
## left son=2 (125 obs) right son=3 (25 obs)
## Primary splits:
## Ba < 0.275 to the left, improve=23.21333, (0 missing)
## Al < 1.775 to the left, improve=16.76333, (0 missing)
## Mg < 2.7 to the right, improve=15.22808, (0 missing)
## Na < 13.995 to the left, improve=14.28760, (0 missing)
## K < 0.055 to the right, improve=10.96486, (0 missing)
## Surrogate splits:
## Al < 1.775 to the left, agree=0.953, adj=0.72, (0 split)
## Na < 14.22 to the left, agree=0.893, adj=0.36, (0 split)
## Mg < 0.165 to the right, agree=0.893, adj=0.36, (0 split)
## K < 0.055 to the right, agree=0.860, adj=0.16, (0 split)
## Ca < 6.56 to the right, agree=0.860, adj=0.16, (0 split)
##
## Node number 2: 125 observations, complexity param=0.1914894
## predicted class=WinNF expected loss=0.56 P(node) =0.8333333
## class counts: 44 55 13 5 6 2
## probabilities: 0.352 0.440 0.104 0.040 0.048 0.016
## left son=4 (78 obs) right son=5 (47 obs)
## Primary splits:
## Al < 1.42 to the left, improve=10.927180, (0 missing)
## RI < -0.675 to the right, improve= 8.347631, (0 missing)
## Ca < 8.325 to the left, improve= 8.131638, (0 missing)
## K < 0.625 to the left, improve= 6.021415, (0 missing)
## Mg < 2.78 to the right, improve= 5.910432, (0 missing)
## Surrogate splits:
## RI < -0.61 to the right, agree=0.760, adj=0.362, (0 split)
## Ca < 8.29 to the right, agree=0.736, adj=0.298, (0 split)
## K < 0.625 to the left, agree=0.728, adj=0.277, (0 split)
## Mg < 3.12 to the right, agree=0.656, adj=0.085, (0 split)
## Na < 13.035 to the right, agree=0.640, adj=0.043, (0 split)
##
## Node number 3: 25 observations
## predicted class=Head expected loss=0.08 P(node) =0.1666667
## class counts: 0 1 0 1 0 23
## probabilities: 0.000 0.040 0.000 0.040 0.000 0.920
##
## Node number 4: 78 observations, complexity param=0.07446809
## predicted class=WinF expected loss=0.474359 P(node) =0.52
## class counts: 41 23 9 1 2 2
## probabilities: 0.526 0.295 0.115 0.013 0.026 0.026
## left son=8 (69 obs) right son=9 (9 obs)
## Primary splits:
## Ca < 10.58 to the left, improve=5.498328, (0 missing)
## Mg < 3.29 to the right, improve=5.135043, (0 missing)
## RI < -0.935 to the right, improve=2.020513, (0 missing)
## Na < 14.01 to the left, improve=1.836492, (0 missing)
## K < 0.01 to the right, improve=1.796523, (0 missing)
## Surrogate splits:
## Mg < 1.925 to the right, agree=0.962, adj=0.667, (0 split)
## RI < 6.67 to the left, agree=0.936, adj=0.444, (0 split)
## Na < 11.59 to the right, agree=0.910, adj=0.222, (0 split)
## Si < 71.295 to the right, agree=0.910, adj=0.222, (0 split)
## K < 0.01 to the right, agree=0.897, adj=0.111, (0 split)
##
## Node number 5: 47 observations
## predicted class=WinNF expected loss=0.3191489 P(node) =0.3133333
## class counts: 3 32 4 4 4 0
## probabilities: 0.064 0.681 0.085 0.085 0.085 0.000
##
## Node number 8: 69 observations, complexity param=0.05319149
## predicted class=WinF expected loss=0.4057971 P(node) =0.46
## class counts: 41 16 9 0 1 2
## probabilities: 0.594 0.232 0.130 0.000 0.014 0.029
## left son=16 (40 obs) right son=17 (29 obs)
## Primary splits:
## Ca < 8.54 to the right, improve=3.348401, (0 missing)
## RI < -0.935 to the right, improve=2.810280, (0 missing)
## Mg < 3.825 to the left, improve=2.620142, (0 missing)
## K < 0.3 to the right, improve=2.291364, (0 missing)
## Al < 1.06 to the right, improve=2.144317, (0 missing)
## Surrogate splits:
## RI < 0.6 to the right, agree=0.725, adj=0.345, (0 split)
## Al < 1.24 to the left, agree=0.696, adj=0.276, (0 split)
## Si < 72.39 to the left, agree=0.696, adj=0.276, (0 split)
## K < 0.3 to the left, agree=0.681, adj=0.241, (0 split)
## Mg < 3.865 to the left, agree=0.623, adj=0.103, (0 split)
##
## Node number 9: 9 observations
## predicted class=WinNF expected loss=0.2222222 P(node) =0.06
## class counts: 0 7 0 1 1 0
## probabilities: 0.000 0.778 0.000 0.111 0.111 0.000
##
## Node number 16: 40 observations
## predicted class=WinF expected loss=0.275 P(node) =0.2666667
## class counts: 29 4 5 0 0 2
## probabilities: 0.725 0.100 0.125 0.000 0.000 0.050
##
## Node number 17: 29 observations, complexity param=0.05319149
## predicted class=WinF expected loss=0.5862069 P(node) =0.1933333
## class counts: 12 12 4 0 1 0
## probabilities: 0.414 0.414 0.138 0.000 0.034 0.000
## left son=34 (19 obs) right son=35 (10 obs)
## Primary splits:
## RI < -0.005 to the left, improve=8.166969, (0 missing)
## Mg < 3.75 to the left, improve=5.911330, (0 missing)
## Si < 72.935 to the right, improve=4.135390, (0 missing)
## Na < 13.09 to the left, improve=2.185140, (0 missing)
## Al < 1.275 to the right, improve=1.603971, (0 missing)
## Surrogate splits:
## Mg < 3.62 to the left, agree=0.931, adj=0.8, (0 split)
## Si < 72.58 to the right, agree=0.862, adj=0.6, (0 split)
##
## Node number 34: 19 observations
## predicted class=WinF expected loss=0.3684211 P(node) =0.1266667
## class counts: 12 2 4 0 1 0
## probabilities: 0.632 0.105 0.211 0.000 0.053 0.000
##
## Node number 35: 10 observations
## predicted class=WinNF expected loss=0 P(node) =0.06666667
## class counts: 0 10 0 0 0 0
## probabilities: 0.000 1.000 0.000 0.000 0.000 0.000
#Building Random Forest Model
#Installing & loading up the randomForest library
if(!require(randomForest)){
install.packages("randomForest")
}
## Loading required package: randomForest
## randomForest 4.6-10
## Type rfNews() to see new features/changes/bug fixes.
library(randomForest)
#fitting random forest to training data
random_forest <- randomForest(type ~ . , data=training_data)
#view results
print(random_forest)
##
## Call:
## randomForest(formula = type ~ ., data = training_data)
## Type of random forest: classification
## Number of trees: 500
## No. of variables tried at each split: 3
##
## OOB estimate of error rate: 24.67%
## Confusion matrix:
## WinF WinNF Veh Con Tabl Head class.error
## WinF 34 8 2 0 0 0 0.2272727
## WinNF 7 45 0 2 1 1 0.1964286
## Veh 7 1 5 0 0 0 0.6153846
## Con 0 4 0 1 0 1 0.8333333
## Tabl 0 1 0 0 5 0 0.1666667
## Head 1 1 0 0 0 23 0.0800000
#importance of each predictor
importance(random_forest)
## MeanDecreaseGini
## RI 14.504381
## Na 12.006454
## Mg 16.652773
## Al 17.832128
## Si 8.934389
## K 8.959970
## Ca 15.453695
## Ba 12.070640
## Fe 3.429796
#Building Bagging Model
#Installing and loading up the ipred package
if(!require(ipred)){
install.packages("ipred")
}
## Loading required package: ipred
library(ipred)
#pulling out the documentation for ipred package
help(package = "ipred")
#fitting bagging classification model to the training data
bagging_model <- bagging(type ~ ., data = training_data,coop = TRUE)
print(bagging_model)
##
## Bagging classification trees with 25 bootstrap replications
##
## Call: bagging.data.frame(formula = type ~ ., data = training_data,
## coop = TRUE)
summary(bagging_model)
##
## Bagging classification trees with 25 bootstrap replications
##
## Call: bagging.data.frame(formula = type ~ ., data = training_data,
## coop = TRUE)
## $y
## [1] WinF WinNF WinNF Head WinF Head Head WinNF WinNF WinF Head
## [12] WinF WinNF WinNF Veh WinNF WinNF Head WinNF Veh Tabl WinF
## [23] WinNF WinF WinF WinNF WinF WinNF Veh WinF WinNF WinNF WinNF
## [34] WinF Veh WinNF WinNF WinF WinNF Head Head WinNF WinNF WinNF
## [45] WinNF WinNF WinF Head Head WinNF WinNF WinNF WinNF WinF WinF
## [56] WinF WinF WinNF WinNF WinF Veh WinF WinF Head WinNF WinF
## [67] Head WinNF Head WinNF WinF WinNF Veh WinF WinF WinNF Tabl
## [78] WinF WinNF Head WinF Con WinF Head WinNF WinF WinNF Veh
## [89] WinF WinF WinF WinF Con WinNF WinNF WinNF Head Head WinNF
## [100] Head Head Veh Head WinNF Con Head WinF WinF Veh Tabl
## [111] WinNF WinNF WinF WinF WinF WinF Veh WinF WinNF WinF WinNF
## [122] WinF Veh WinNF WinF Head Con WinF Tabl Veh WinNF WinF
## [133] Head WinNF WinNF WinNF WinNF Tabl Con Tabl WinNF Head Head
## [144] WinNF Con WinF Veh WinNF WinNF Head
## Levels: WinF WinNF Veh Con Tabl Head
##
## $X
## RI Na Mg Al Si K Ca Ba Fe
## 57 -5.85 12.99 3.47 1.12 72.98 0.62 8.35 0.00 0.31
## 80 -2.10 12.82 3.52 1.90 72.86 0.69 7.97 0.00 0.00
## 122 -1.37 12.93 3.54 1.62 72.96 0.64 8.03 0.00 0.21
## 192 -1.98 14.85 0.00 2.38 73.28 0.00 8.76 0.64 0.09
## 43 -0.21 13.21 3.39 1.33 72.76 0.59 8.59 0.00 0.00
## 188 5.15 13.44 3.34 1.23 72.38 0.60 8.83 0.00 0.00
## 197 -2.44 13.87 0.00 2.54 73.23 0.14 9.41 0.81 0.01
## 137 0.06 13.00 3.80 1.08 73.07 0.56 8.38 0.00 0.12
## 130 2.20 13.98 1.35 1.63 71.76 0.39 10.56 0.00 0.18
## 13 -2.11 12.88 3.43 1.40 73.28 0.69 8.05 0.00 0.24
## 210 -1.77 14.14 0.00 2.88 72.61 0.08 9.18 1.06 0.00
## 36 -2.33 13.29 3.45 1.21 72.74 0.56 8.57 0.00 0.00
## 139 -1.26 12.79 3.52 1.54 73.36 0.66 7.90 0.00 0.00
## 78 -1.73 13.00 3.58 1.54 72.83 0.61 8.04 0.00 0.00
## 154 -1.90 13.42 3.40 1.22 72.69 0.59 8.32 0.00 0.00
## 100 0.11 12.96 2.96 1.43 72.92 0.60 8.79 0.14 0.00
## 143 -1.38 12.85 3.51 1.44 73.01 0.68 8.23 0.06 0.25
## 196 -2.55 14.14 0.00 2.68 73.39 0.08 9.07 0.61 0.05
## 75 -2.04 13.02 3.56 1.54 73.11 0.72 7.90 0.00 0.00
## 152 3.27 14.32 3.90 0.83 71.50 0.00 9.49 0.00 0.00
## 182 0.88 14.99 0.78 1.74 72.50 0.00 9.95 0.00 0.00
## 41 -0.07 12.79 3.50 1.12 73.03 0.64 8.77 0.00 0.00
## 126 0.72 12.93 3.66 1.56 72.51 0.58 8.55 0.00 0.12
## 24 -0.49 12.81 3.57 1.35 73.02 0.62 8.59 0.00 0.00
## 51 5.20 13.72 3.72 0.51 71.75 0.09 10.06 0.00 0.16
## 73 -2.07 13.09 3.59 1.52 73.10 0.67 7.83 0.00 0.00
## 3 -1.82 13.53 3.55 1.54 72.99 0.39 7.78 0.00 0.00
## 72 0.48 13.64 3.87 1.27 71.96 0.54 8.32 0.00 0.32
## 162 1.34 13.64 3.54 0.75 72.65 0.16 8.89 0.15 0.24
## 63 3.72 13.51 3.86 0.88 71.79 0.23 9.54 0.00 0.11
## 89 -1.82 13.01 3.50 1.48 72.89 0.60 8.12 0.00 0.00
## 110 0.18 13.72 0.00 0.56 74.45 0.00 10.99 0.00 0.00
## 90 -1.60 12.55 3.48 1.87 73.23 0.63 8.08 0.00 0.09
## 34 -0.47 12.57 3.47 1.38 73.39 0.60 8.55 0.00 0.06
## 149 -1.30 13.24 3.57 1.38 72.70 0.56 8.44 0.00 0.10
## 120 -1.48 13.56 3.57 1.47 72.45 0.64 7.96 0.00 0.00
## 142 0.51 13.20 3.63 1.07 72.83 0.57 8.41 0.09 0.17
## 20 -0.65 13.02 3.54 1.69 72.73 0.54 8.44 0.00 0.07
## 128 2.81 13.78 2.28 1.43 71.99 0.49 9.85 0.00 0.17
## 187 0.38 14.32 3.26 2.22 71.25 1.46 5.79 1.63 0.00
## 198 -0.73 14.70 0.00 2.34 73.28 0.00 8.95 0.66 0.00
## 112 9.39 11.02 0.00 0.75 73.08 0.00 14.96 0.00 0.00
## 135 0.11 13.33 3.85 1.25 72.78 0.52 8.12 0.00 0.00
## 95 -1.71 12.71 3.33 1.49 73.28 0.67 8.24 0.00 0.00
## 91 0.41 12.93 3.74 1.11 72.28 0.64 8.96 0.00 0.22
## 134 0.00 13.71 3.93 1.54 71.81 0.54 8.21 0.00 0.15
## 4 -0.34 13.21 3.69 1.29 72.61 0.57 8.22 0.00 0.00
## 213 -1.49 14.38 0.00 1.94 73.61 0.00 8.48 1.57 0.00
## 212 2.65 14.36 0.00 2.02 73.42 0.00 8.44 1.64 0.00
## 115 0.47 13.10 3.97 1.19 72.44 0.60 8.43 0.00 0.00
## 79 -1.87 13.92 3.52 1.25 72.88 0.37 7.94 0.00 0.14
## 141 -1.10 13.33 3.54 1.61 72.54 0.68 8.11 0.00 0.00
## 71 -2.26 14.86 3.67 1.74 71.87 0.16 7.36 0.00 0.12
## 40 4.13 14.21 3.82 0.47 71.77 0.11 9.57 0.00 0.00
## 12 -0.37 12.80 3.66 1.27 73.01 0.60 8.56 0.00 0.00
## 16 -0.39 12.81 3.54 1.23 73.24 0.58 8.39 0.00 0.00
## 50 0.98 13.58 3.35 1.23 72.08 0.59 8.91 0.00 0.00
## 82 -2.07 13.25 3.45 1.43 73.17 0.61 7.86 0.00 0.00
## 104 9.25 13.80 3.15 0.66 70.57 0.08 11.64 0.00 0.00
## 64 4.27 14.17 3.81 0.78 71.35 0.00 9.69 0.00 0.00
## 163 4.11 14.19 3.78 0.91 71.36 0.23 9.14 0.00 0.37
## 45 -0.14 12.73 3.43 1.19 72.95 0.62 8.76 0.00 0.30
## 70 5.00 13.31 3.58 0.82 71.99 0.12 10.17 0.00 0.03
## 190 5.65 15.79 1.83 1.31 70.43 0.31 8.61 1.68 0.00
## 98 -0.57 12.20 3.25 1.16 73.55 0.62 8.90 0.00 0.24
## 39 4.13 14.21 3.82 0.47 71.77 0.11 9.57 0.00 0.00
## 186 -6.69 13.69 3.20 1.81 72.81 1.76 5.43 1.19 0.00
## 113 9.77 12.64 0.00 0.67 72.02 0.06 14.40 0.00 0.00
## 205 -1.83 14.95 0.00 2.27 73.30 0.00 8.71 0.67 0.00
## 127 -1.33 12.94 3.61 1.26 72.75 0.56 8.60 0.00 0.00
## 49 4.23 13.21 3.77 0.79 71.99 0.13 10.02 0.00 0.00
## 121 0.44 13.25 3.76 1.32 72.40 0.58 8.42 0.00 0.00
## 158 3.21 14.03 3.76 0.58 71.79 0.11 9.65 0.00 0.00
## 48 8.67 13.99 3.70 0.71 71.57 0.02 9.82 0.00 0.10
## 67 3.52 13.05 3.65 0.87 72.22 0.19 9.85 0.00 0.17
## 125 3.77 13.20 3.68 1.15 72.75 0.54 8.52 0.00 0.00
## 179 0.29 14.46 2.24 1.62 72.38 0.00 9.26 0.00 0.00
## 54 0.37 13.14 2.84 1.28 72.85 0.55 9.07 0.00 0.00
## 106 6.75 11.45 0.00 1.88 72.19 0.81 13.24 0.00 0.34
## 206 -0.68 14.95 0.00 1.80 72.99 0.00 8.61 1.55 0.00
## 59 -0.46 13.48 3.74 1.17 72.99 0.59 8.03 0.00 0.00
## 171 5.69 13.44 0.00 1.58 72.22 0.32 12.24 0.00 0.00
## 53 0.08 13.43 2.87 1.19 72.84 0.55 9.03 0.00 0.00
## 204 -1.42 14.80 0.00 1.99 73.11 0.00 8.28 1.71 0.00
## 99 -1.11 12.67 2.88 1.71 73.21 0.73 8.54 0.00 0.00
## 27 -0.07 13.21 3.48 1.41 72.64 0.59 8.43 0.00 0.00
## 92 -1.95 12.90 3.44 1.45 73.06 0.44 8.27 0.00 0.00
## 159 -0.24 13.53 3.41 1.52 72.04 0.58 8.79 0.00 0.00
## 31 -0.32 12.65 3.56 1.30 73.08 0.61 8.69 0.00 0.14
## 18 3.96 14.36 3.85 0.89 71.36 0.15 9.15 0.00 0.00
## 30 -0.16 13.08 3.49 1.28 72.86 0.60 8.49 0.00 0.00
## 8 -0.44 13.15 3.61 1.05 73.24 0.57 8.24 0.00 0.00
## 164 -2.86 14.01 2.68 3.50 69.89 1.68 5.87 2.20 0.00
## 107 13.25 10.73 0.00 2.10 69.81 0.58 13.30 3.15 0.28
## 94 -2.10 13.24 3.34 1.47 73.10 0.39 8.22 0.00 0.00
## 133 0.13 13.43 3.98 1.18 72.49 0.58 8.15 0.00 0.00
## 207 -1.55 14.94 0.00 1.87 73.11 0.00 8.67 1.38 0.00
## 200 -1.91 15.01 0.00 2.51 73.05 0.05 8.83 0.53 0.00
## 119 -1.27 13.30 3.64 1.53 72.53 0.65 8.03 0.00 0.29
## 195 -1.17 14.56 0.00 1.98 73.29 0.00 8.52 1.57 0.07
## 208 0.31 14.39 0.00 1.82 72.86 1.41 6.47 2.88 0.00
## 161 0.32 13.33 3.34 1.54 72.14 0.56 8.99 0.00 0.00
## 211 -1.15 14.92 0.00 1.99 73.06 0.00 8.40 1.59 0.00
## 111 8.64 11.23 0.00 0.77 73.21 0.00 14.68 0.00 0.00
## 165 1.15 12.73 1.85 1.86 72.69 0.60 10.09 0.00 0.00
## 191 -1.87 13.88 1.78 1.79 73.10 0.00 8.67 0.76 0.00
## 14 -0.52 12.86 3.56 1.27 73.21 0.54 8.38 0.00 0.17
## 52 1.26 13.20 3.33 1.28 72.36 0.60 9.14 0.00 0.11
## 150 -1.57 12.16 3.52 1.35 72.89 0.57 8.53 0.00 0.00
## 185 -6.85 17.38 0.00 0.34 75.41 0.00 6.65 0.00 0.00
## 102 -0.70 12.35 2.72 1.63 72.87 0.70 9.23 0.00 0.00
## 76 -2.10 13.02 3.58 1.51 73.12 0.69 7.96 0.00 0.00
## 37 1.09 13.89 3.53 1.32 71.81 0.51 8.78 0.11 0.00
## 44 4.10 13.73 3.84 0.72 71.76 0.17 9.74 0.00 0.00
## 15 -0.37 12.61 3.59 1.31 73.29 0.58 8.50 0.00 0.00
## 2 -0.39 13.89 3.60 1.36 72.73 0.48 7.83 0.00 0.00
## 148 -1.90 13.33 3.53 1.34 72.67 0.56 8.33 0.00 0.00
## 11 -2.29 12.72 3.46 1.56 73.20 0.67 8.09 0.00 0.24
## 131 3.77 13.75 1.01 1.36 72.19 0.33 11.14 0.00 0.00
## 61 1.05 13.60 3.62 1.11 72.64 0.14 8.76 0.00 0.00
## 138 -0.89 12.89 3.62 1.57 72.96 0.61 8.11 0.00 0.00
## 47 0.69 13.19 3.37 1.18 72.72 0.57 8.83 0.00 0.16
## 153 -0.21 13.64 3.65 0.65 73.00 0.06 8.93 0.00 0.00
## 145 -1.40 12.99 3.18 1.23 72.97 0.58 8.81 0.00 0.24
## 68 3.52 13.05 3.65 0.87 72.32 0.19 9.85 0.00 0.17
## 193 -1.77 14.20 0.00 2.79 73.46 0.04 9.04 0.40 0.09
## 176 3.19 12.97 0.33 1.51 73.39 0.13 11.27 0.00 0.28
## 19 1.11 13.90 3.73 1.18 72.12 0.06 8.89 0.00 0.00
## 177 1.05 14.00 2.39 1.56 72.37 0.00 9.57 0.00 0.00
## 151 -1.35 13.14 3.45 1.76 72.48 0.60 8.38 0.00 0.17
## 144 -0.91 13.00 3.47 1.79 72.72 0.66 8.18 0.00 0.00
## 7 -0.57 13.30 3.60 1.14 73.09 0.58 8.17 0.00 0.00
## 209 -1.60 14.37 0.00 2.74 72.85 0.00 9.45 0.54 0.00
## 132 8.14 13.70 0.00 1.36 71.24 0.19 13.44 0.00 0.10
## 114 0.92 13.46 3.83 1.26 72.55 0.57 8.21 0.00 0.14
## 117 0.29 13.24 3.90 1.41 72.33 0.55 8.31 0.00 0.10
## 101 -1.45 12.75 2.85 1.44 73.27 0.57 8.79 0.11 0.22
## 184 1.69 14.56 0.00 0.56 73.48 0.00 11.22 0.00 0.00
## 167 3.51 11.03 1.71 1.56 73.44 0.58 11.62 0.00 0.00
## 180 0.52 14.09 2.19 1.66 72.67 0.00 9.32 0.00 0.00
## 85 -3.91 14.25 3.09 2.08 72.28 1.10 7.08 0.00 0.00
## 201 -2.92 15.15 0.00 2.25 73.50 0.00 8.34 0.63 0.00
## 202 -1.47 11.95 0.00 1.19 75.18 2.70 8.93 0.00 0.00
## 87 -2.31 13.24 3.49 1.47 73.25 0.38 8.03 0.00 0.00
## 174 2.43 13.38 0.00 1.40 72.25 0.33 12.50 0.00 0.00
## 32 -0.53 12.84 3.50 1.14 73.27 0.56 8.55 0.00 0.00
## 160 -0.04 13.50 3.36 1.63 71.94 0.57 8.81 0.00 0.09
## 74 -1.69 13.34 3.57 1.57 72.87 0.61 7.89 0.00 0.00
## 83 -1.54 13.41 3.55 1.25 72.81 0.68 8.10 0.00 0.00
## 214 -0.89 14.23 0.00 2.08 73.36 0.00 8.62 1.67 0.00
##
## $mtrees
## $mtrees[[1]]
## $bindx
## [1] 7 18 74 91 32 98 33 41 48 24 45 14 27 35 89 30 41
## [18] 37 3 7 89 117 84 59 134 63 131 136 33 31 82 30 22 117
## [35] 57 28 120 133 34 29 114 97 131 77 27 101 107 91 68 128 7
## [52] 75 23 133 79 129 57 150 70 107 133 138 89 107 119 141 46 30
## [69] 123 32 127 27 104 18 54 71 77 56 119 143 73 119 17 1 140
## [86] 15 106 19 71 146 146 71 74 95 88 46 10 73 80 53 4 4
## [103] 99 103 28 7 44 64 104 79 115 77 84 91 38 93 143 116 127
## [120] 32 2 106 55 14 124 46 44 40 76 76 74 76 34 85 97 75
## [137] 30 42 37 118 92 111 34 84 92 120 143 56 45 63
##
## $btree
## n= 150
##
## node), split, n, loss, yval, (yprob)
## * denotes terminal node
##
## 1) root 150 99 WinF (0.34 0.33 0.06 0.027 0.04 0.21)
## 2) Ba< 0.34 121 70 WinF (0.42 0.4 0.074 0.025 0.05 0.025)
## 4) Mg>=3.345 88 37 WinF (0.58 0.32 0.1 0 0 0)
## 8) Al< 1.405 64 18 WinF (0.72 0.16 0.12 0 0 0)
## 16) Si>=72.845 25 1 WinF (0.96 0 0.04 0 0 0)
## 32) Na< 13.395 24 0 WinF (1 0 0 0 0 0) *
## 33) Na>=13.395 1 0 Veh (0 0 1 0 0 0) *
## 17) Si< 72.845 39 17 WinF (0.56 0.26 0.18 0 0 0)
## 34) K< 0.51 23 3 WinF (0.87 0 0.13 0 0 0)
## 68) Na< 14.01 20 1 WinF (0.95 0 0.05 0 0 0)
## 136) Ba< 0.075 19 0 WinF (1 0 0 0 0 0) *
## 137) Ba>=0.075 1 0 Veh (0 0 1 0 0 0) *
## 69) Na>=14.01 3 1 Veh (0.33 0 0.67 0 0 0)
## 138) Al< 0.525 1 0 WinF (1 0 0 0 0 0) *
## 139) Al>=0.525 2 0 Veh (0 0 1 0 0 0) *
## 35) K>=0.51 16 6 WinNF (0.13 0.62 0.25 0 0 0)
## 70) Mg>=3.59 10 0 WinNF (0 1 0 0 0 0) *
## 71) Mg< 3.59 6 2 Veh (0.33 0 0.67 0 0 0)
## 142) RI>=-0.16 2 0 WinF (1 0 0 0 0 0) *
## 143) RI< -0.16 4 0 Veh (0 0 1 0 0 0) *
## 9) Al>=1.405 24 6 WinNF (0.21 0.75 0.042 0 0 0)
## 18) K< 0.465 4 1 WinF (0.75 0.25 0 0 0 0)
## 36) Na< 14.195 3 0 WinF (1 0 0 0 0 0) *
## 37) Na>=14.195 1 0 WinNF (0 1 0 0 0 0) *
## 19) K>=0.465 20 3 WinNF (0.1 0.85 0.05 0 0 0)
## 38) Mg>=3.465 18 1 WinNF (0.056 0.94 0 0 0 0)
## 76) Ca>=8.375 2 1 WinF (0.5 0.5 0 0 0 0)
## 152) RI< 0.035 1 0 WinF (1 0 0 0 0 0) *
## 153) RI>=0.035 1 0 WinNF (0 1 0 0 0 0) *
## 77) Ca< 8.375 16 0 WinNF (0 1 0 0 0 0) *
## 39) Mg< 3.465 2 1 WinF (0.5 0 0.5 0 0 0)
## 78) RI< -1.265 1 0 WinF (1 0 0 0 0 0) *
## 79) RI>=-1.265 1 0 Veh (0 0 1 0 0 0) *
## 5) Mg< 3.345 33 12 WinNF (0 0.64 0 0.091 0.18 0.091)
## 10) Na< 13.9 26 6 WinNF (0 0.77 0 0.12 0 0.12)
## 20) Si< 74.815 23 3 WinNF (0 0.87 0 0.13 0 0)
## 40) Al< 1.5 16 0 WinNF (0 1 0 0 0 0) *
## 41) Al>=1.5 7 3 WinNF (0 0.57 0 0.43 0 0)
## 82) Na< 12.82 4 0 WinNF (0 1 0 0 0 0) *
## 83) Na>=12.82 3 0 Con (0 0 0 1 0 0) *
## 21) Si>=74.815 3 0 Head (0 0 0 0 0 1) *
## 11) Na>=13.9 7 1 Tabl (0 0.14 0 0 0.86 0)
## 22) Mg>=2.74 1 0 WinNF (0 1 0 0 0 0) *
## 23) Mg< 2.74 6 0 Tabl (0 0 0 0 1 0) *
## 3) Ba>=0.34 29 1 Head (0 0 0 0.034 0 0.97)
## 6) RI< -2.705 1 0 Con (0 0 0 1 0 0) *
## 7) RI>=-2.705 28 0 Head (0 0 0 0 0 1) *
##
## attr(,"class")
## class
## "sclass"
##
## $mtrees[[2]]
## $bindx
## [1] 30 133 128 130 11 61 88 1 72 120 34 19 78 130 63 31 46
## [18] 138 103 8 18 88 23 24 51 12 1 76 109 88 61 29 115 40
## [35] 49 148 134 149 33 129 74 39 118 51 113 72 85 29 35 78 2
## [52] 72 142 20 103 150 110 76 50 80 21 128 148 121 74 33 51 67
## [69] 148 17 91 99 120 25 116 137 11 61 10 66 92 15 105 43 95
## [86] 46 55 48 111 131 96 47 147 83 72 115 106 35 57 134 3 56
## [103] 97 111 95 112 132 29 125 75 1 63 84 22 91 119 26 91 49
## [120] 41 6 49 78 134 59 128 98 135 9 106 23 139 93 58 76 47
## [137] 119 35 84 142 51 28 128 105 57 141 73 32 13 9
##
## $btree
## n= 150
##
## node), split, n, loss, yval, (yprob)
## * denotes terminal node
##
## 1) root 150 94 WinNF (0.29 0.37 0.13 0.027 0.027 0.16)
## 2) Ba< 0.34 126 70 WinNF (0.34 0.44 0.15 0.024 0.032 0.0079)
## 4) Al< 1.315 65 28 WinF (0.57 0.25 0.14 0 0.031 0.015)
## 8) Ca>=8.16 57 20 WinF (0.65 0.16 0.16 0 0.018 0.018)
## 16) Na< 14.01 50 14 WinF (0.72 0.18 0.08 0 0 0.02)
## 32) Ba< 0.075 47 11 WinF (0.77 0.19 0.021 0 0 0.021)
## 64) Mg< 3.765 42 7 WinF (0.83 0.12 0.024 0 0 0.024)
## 128) Ca< 10.58 40 5 WinF (0.88 0.075 0.025 0 0 0.025)
## 256) RI< 3.645 31 1 WinF (0.97 0 0.032 0 0 0)
## 512) RI>=-1.235 26 0 WinF (1 0 0 0 0 0) *
## 513) RI< -1.235 5 1 WinF (0.8 0 0.2 0 0 0)
## 1026) Mg>=3.425 4 0 WinF (1 0 0 0 0 0) *
## 1027) Mg< 3.425 1 0 Veh (0 0 1 0 0 0) *
## 257) RI>=3.645 9 4 WinF (0.56 0.33 0 0 0 0.11)
## 514) Al< 0.985 5 0 WinF (1 0 0 0 0 0) *
## 515) Al>=0.985 4 1 WinNF (0 0.75 0 0 0 0.25)
## 1030) Mg>=3.51 3 0 WinNF (0 1 0 0 0 0) *
## 1031) Mg< 3.51 1 0 Head (0 0 0 0 0 1) *
## 129) Ca>=10.58 2 0 WinNF (0 1 0 0 0 0) *
## 65) Mg>=3.765 5 1 WinNF (0.2 0.8 0 0 0 0)
## 130) Al< 0.98 1 0 WinF (1 0 0 0 0 0) *
## 131) Al>=0.98 4 0 WinNF (0 1 0 0 0 0) *
## 33) Ba>=0.075 3 0 Veh (0 0 1 0 0 0) *
## 17) Na>=14.01 7 2 Veh (0.14 0 0.71 0 0.14 0)
## 34) Al< 0.57 2 1 WinF (0.5 0 0 0 0.5 0)
## 68) RI>=2.91 1 0 WinF (1 0 0 0 0 0) *
## 69) RI< 2.91 1 0 Tabl (0 0 0 0 1 0) *
## 35) Al>=0.57 5 0 Veh (0 0 1 0 0 0) *
## 9) Ca< 8.16 8 1 WinNF (0 0.88 0 0 0.12 0)
## 18) Na< 15.65 7 0 WinNF (0 1 0 0 0 0) *
## 19) Na>=15.65 1 0 Tabl (0 0 0 0 1 0) *
## 5) Al>=1.315 61 21 WinNF (0.098 0.66 0.16 0.049 0.033 0)
## 10) Ca< 8.305 25 3 WinNF (0.12 0.88 0 0 0 0)
## 20) Al< 1.415 2 0 WinF (1 0 0 0 0 0) *
## 21) Al>=1.415 23 1 WinNF (0.043 0.96 0 0 0 0)
## 42) RI< -2.195 2 1 WinF (0.5 0.5 0 0 0 0)
## 84) RI>=-3.1 1 0 WinF (1 0 0 0 0 0) *
## 85) RI< -3.1 1 0 WinNF (0 1 0 0 0 0) *
## 43) RI>=-2.195 21 0 WinNF (0 1 0 0 0 0) *
## 11) Ca>=8.305 36 18 WinNF (0.083 0.5 0.28 0.083 0.056 0)
## 22) RI< 0.2 16 6 Veh (0.12 0.25 0.62 0 0 0)
## 44) Mg< 3.12 4 0 WinNF (0 1 0 0 0 0) *
## 45) Mg>=3.12 12 2 Veh (0.17 0 0.83 0 0 0)
## 90) Si>=72.955 2 0 WinF (1 0 0 0 0 0) *
## 91) Si< 72.955 10 0 Veh (0 0 1 0 0 0) *
## 23) RI>=0.2 20 6 WinNF (0.05 0.7 0 0.15 0.1 0)
## 46) Na>=12.83 17 3 WinNF (0.059 0.82 0 0 0.12 0)
## 92) K>=0.095 15 1 WinNF (0.067 0.93 0 0 0 0)
## 184) Ba>=0.055 1 0 WinF (1 0 0 0 0 0) *
## 185) Ba< 0.055 14 0 WinNF (0 1 0 0 0 0) *
## 93) K< 0.095 2 0 Tabl (0 0 0 0 1 0) *
## 47) Na< 12.83 3 0 Con (0 0 0 1 0 0) *
## 3) Ba>=0.34 24 1 Head (0 0 0 0.042 0 0.96)
## 6) Si< 70.57 1 0 Con (0 0 0 1 0 0) *
## 7) Si>=70.57 23 0 Head (0 0 0 0 0 1) *
##
## attr(,"class")
## class
## "sclass"
##
## $mtrees[[3]]
## $bindx
## [1] 32 27 147 86 58 21 10 140 69 138 83 65 50 71 41 84 146
## [18] 34 49 138 63 145 81 30 58 106 103 34 36 21 124 15 70 145
## [35] 26 67 8 35 106 116 31 67 50 149 125 59 4 102 2 136 29
## [52] 31 92 105 71 70 115 3 42 82 104 16 9 40 137 80 18 112
## [69] 65 56 25 103 83 49 150 15 107 59 48 39 24 80 90 109 52
## [86] 42 3 39 111 142 11 60 135 41 1 87 111 1 21 48 134 84
## [103] 71 23 5 72 136 64 124 136 91 43 42 141 66 58 123 140 60
## [120] 14 28 44 54 12 122 88 95 23 44 53 81 150 71 67 25 89
## [137] 51 100 107 115 44 19 8 67 10 52 130 36 100 6
##
## $btree
## n= 150
##
## node), split, n, loss, yval, (yprob)
## * denotes terminal node
##
## 1) root 150 91 WinNF (0.27 0.39 0.067 0.027 0.047 0.2)
## 2) Ba< 0.38 121 62 WinNF (0.33 0.49 0.083 0.033 0.058 0.0083)
## 4) Al< 1.405 73 35 WinF (0.52 0.33 0.082 0.027 0.027 0.014)
## 8) Mg>=3.355 54 18 WinF (0.67 0.22 0.11 0 0 0)
## 16) Ca>=8.465 30 5 WinF (0.83 0.067 0.1 0 0 0)
## 32) RI>=-0.93 26 2 WinF (0.92 0 0.077 0 0 0)
## 64) Ba< 0.075 25 1 WinF (0.96 0 0.04 0 0 0)
## 128) K>=0.075 22 0 WinF (1 0 0 0 0 0) *
## 129) K< 0.075 3 1 WinF (0.67 0 0.33 0 0 0)
## 258) RI>=2.03 2 0 WinF (1 0 0 0 0 0) *
## 259) RI< 2.03 1 0 Veh (0 0 1 0 0 0) *
## 65) Ba>=0.075 1 0 Veh (0 0 1 0 0 0) *
## 33) RI< -0.93 4 2 WinNF (0.25 0.5 0.25 0 0 0)
## 66) RI>=-1.45 2 0 WinNF (0 1 0 0 0 0) *
## 67) RI< -1.45 2 1 WinF (0.5 0 0.5 0 0 0)
## 134) RI< -1.95 1 0 WinF (1 0 0 0 0 0) *
## 135) RI>=-1.95 1 0 Veh (0 0 1 0 0 0) *
## 17) Ca< 8.465 24 13 WinF (0.46 0.42 0.12 0 0 0)
## 34) RI< -0.165 16 5 WinF (0.69 0.12 0.19 0 0 0)
## 68) Si>=72.715 13 2 WinF (0.85 0.15 0 0 0 0)
## 136) Si>=72.93 10 0 WinF (1 0 0 0 0 0) *
## 137) Si< 72.93 3 1 WinNF (0.33 0.67 0 0 0 0)
## 274) RI>=-0.965 1 0 WinF (1 0 0 0 0 0) *
## 275) RI< -0.965 2 0 WinNF (0 1 0 0 0 0) *
## 69) Si< 72.715 3 0 Veh (0 0 1 0 0 0) *
## 35) RI>=-0.165 8 0 WinNF (0 1 0 0 0 0) *
## 9) Mg< 3.355 19 7 WinNF (0.11 0.63 0 0.11 0.11 0.053)
## 18) Na< 14.18 17 5 WinNF (0.12 0.71 0 0.12 0 0.059)
## 36) Al< 1.38 15 3 WinNF (0.13 0.8 0 0 0 0.067)
## 72) Mg< 3.295 14 2 WinNF (0.14 0.86 0 0 0 0)
## 144) Al>=1.175 5 2 WinNF (0.4 0.6 0 0 0 0)
## 288) Al< 1.21 2 0 WinF (1 0 0 0 0 0) *
## 289) Al>=1.21 3 0 WinNF (0 1 0 0 0 0) *
## 145) Al< 1.175 9 0 WinNF (0 1 0 0 0 0) *
## 73) Mg>=3.295 1 0 Head (0 0 0 0 0 1) *
## 37) Al>=1.38 2 0 Con (0 0 0 1 0 0) *
## 19) Na>=14.18 2 0 Tabl (0 0 0 0 1 0) *
## 5) Al>=1.405 48 13 WinNF (0.042 0.73 0.083 0.042 0.1 0)
## 10) K>=0.08 43 8 WinNF (0.047 0.81 0.093 0.047 0 0)
## 20) Ca< 8.345 27 1 WinNF (0.037 0.96 0 0 0 0)
## 40) K< 0.415 3 1 WinNF (0.33 0.67 0 0 0 0)
## 80) RI>=-1.96 1 0 WinF (1 0 0 0 0 0) *
## 81) RI< -1.96 2 0 WinNF (0 1 0 0 0 0) *
## 41) K>=0.415 24 0 WinNF (0 1 0 0 0 0) *
## 21) Ca>=8.345 16 7 WinNF (0.062 0.56 0.25 0.13 0 0)
## 42) Mg>=3.15 7 3 Veh (0.14 0.29 0.57 0 0 0)
## 84) Mg>=3.465 3 1 WinNF (0.33 0.67 0 0 0 0)
## 168) RI< 0.325 1 0 WinF (1 0 0 0 0 0) *
## 169) RI>=0.325 2 0 WinNF (0 1 0 0 0 0) *
## 85) Mg< 3.465 4 0 Veh (0 0 1 0 0 0) *
## 43) Mg< 3.15 9 2 WinNF (0 0.78 0 0.22 0 0)
## 86) Mg>=2.065 6 0 WinNF (0 1 0 0 0 0) *
## 87) Mg< 2.065 3 1 Con (0 0.33 0 0.67 0 0)
## 174) Na>=13.71 1 0 WinNF (0 1 0 0 0 0) *
## 175) Na< 13.71 2 0 Con (0 0 0 1 0 0) *
## 11) K< 0.08 5 0 Tabl (0 0 0 0 1 0) *
## 3) Ba>=0.38 29 0 Head (0 0 0 0 0 1) *
##
## attr(,"class")
## class
## "sclass"
##
## $mtrees[[4]]
## $bindx
## [1] 14 19 114 19 31 98 94 104 134 123 31 92 92 13 125 63 69
## [18] 85 109 63 10 87 131 53 12 31 74 5 34 75 116 116 127 68
## [35] 2 149 1 144 4 55 125 12 22 103 27 18 84 52 35 94 15
## [52] 128 15 98 38 24 55 51 26 42 13 80 136 117 63 102 2 14
## [69] 17 18 143 24 10 66 21 49 52 51 78 46 14 86 17 77 120
## [86] 116 112 3 150 36 68 39 133 80 122 90 62 2 112 33 127 94
## [103] 21 143 10 40 64 14 82 96 18 22 149 10 49 119 117 2 11
## [120] 119 68 21 112 30 86 58 136 30 114 52 143 111 61 73 118 28
## [137] 38 96 102 74 59 30 7 61 8 72 7 131 126 18
##
## $btree
## n= 150
##
## node), split, n, loss, yval, (yprob)
## * denotes terminal node
##
## 1) root 150 90 WinNF (0.31 0.4 0.08 0.02 0.027 0.17)
## 2) Ba< 0.23 125 68 WinNF (0.37 0.46 0.096 0.024 0.032 0.024)
## 4) Al< 1.42 75 33 WinF (0.56 0.27 0.13 0 0 0.04)
## 8) Ca< 10.655 66 24 WinF (0.64 0.17 0.15 0 0 0.045)
## 16) Mg< 3.865 61 19 WinF (0.69 0.098 0.16 0 0 0.049)
## 32) RI>=-0.895 41 6 WinF (0.85 0.049 0.098 0 0 0)
## 64) Fe< 0.335 39 4 WinF (0.9 0.051 0.051 0 0 0)
## 128) Al>=0.68 36 2 WinF (0.94 0.056 0 0 0 0)
## 256) Ca>=8.425 29 0 WinF (1 0 0 0 0 0) *
## 257) Ca< 8.425 7 2 WinF (0.71 0.29 0 0 0 0)
## 514) RI< -0.165 5 0 WinF (1 0 0 0 0 0) *
## 515) RI>=-0.165 2 0 WinNF (0 1 0 0 0 0) *
## 129) Al< 0.68 3 1 Veh (0.33 0 0.67 0 0 0)
## 258) RI>=3.67 1 0 WinF (1 0 0 0 0 0) *
## 259) RI< 3.67 2 0 Veh (0 0 1 0 0 0) *
## 65) Fe>=0.335 2 0 Veh (0 0 1 0 0 0) *
## 33) RI< -0.895 20 13 WinF (0.35 0.2 0.3 0 0 0.15)
## 66) RI< -2.005 7 0 WinF (1 0 0 0 0 0) *
## 67) RI>=-2.005 13 7 Veh (0 0.31 0.46 0 0 0.23)
## 134) Ca< 8.21 4 0 WinNF (0 1 0 0 0 0) *
## 135) Ca>=8.21 9 3 Veh (0 0 0.67 0 0 0.33)
## 270) Na>=12.055 6 0 Veh (0 0 1 0 0 0) *
## 271) Na< 12.055 3 0 Head (0 0 0 0 0 1) *
## 17) Mg>=3.865 5 0 WinNF (0 1 0 0 0 0) *
## 9) Ca>=10.655 9 0 WinNF (0 1 0 0 0 0) *
## 5) Al>=1.42 50 13 WinNF (0.08 0.74 0.04 0.06 0.08 0)
## 10) RI< -0.675 37 2 WinNF (0.054 0.95 0 0 0 0)
## 20) RI< -2.275 2 1 WinF (0.5 0.5 0 0 0 0)
## 40) RI>=-2.3 1 0 WinF (1 0 0 0 0 0) *
## 41) RI< -2.3 1 0 WinNF (0 1 0 0 0 0) *
## 21) RI>=-2.275 35 1 WinNF (0.029 0.97 0 0 0 0)
## 42) K< 0.415 2 1 WinF (0.5 0.5 0 0 0 0)
## 84) RI>=-2.04 1 0 WinF (1 0 0 0 0 0) *
## 85) RI< -2.04 1 0 WinNF (0 1 0 0 0 0) *
## 43) K>=0.415 33 0 WinNF (0 1 0 0 0 0) *
## 11) RI>=-0.675 13 9 Tabl (0.15 0.15 0.15 0.23 0.31 0)
## 22) K>=0.065 9 6 Con (0.22 0.22 0.22 0.33 0 0)
## 44) RI< 3 6 4 WinF (0.33 0.33 0.33 0 0 0)
## 88) RI< -0.325 2 0 WinF (1 0 0 0 0 0) *
## 89) RI>=-0.325 4 2 WinNF (0 0.5 0.5 0 0 0)
## 178) Na>=13.52 2 0 WinNF (0 1 0 0 0 0) *
## 179) Na< 13.52 2 0 Veh (0 0 1 0 0 0) *
## 45) RI>=3 3 0 Con (0 0 0 1 0 0) *
## 23) K< 0.065 4 0 Tabl (0 0 0 0 1 0) *
## 3) Ba>=0.23 25 3 Head (0 0.12 0 0 0 0.88)
## 6) Na< 12.3 3 0 WinNF (0 1 0 0 0 0) *
## 7) Na>=12.3 22 0 Head (0 0 0 0 0 1) *
##
## attr(,"class")
## class
## "sclass"
##
## $mtrees[[5]]
## $bindx
## [1] 84 4 11 119 103 17 6 141 47 101 50 26 11 123 149 121 96
## [18] 148 35 32 137 9 41 26 87 132 149 6 109 139 87 111 73 12
## [35] 100 100 87 8 107 24 67 66 110 103 41 108 59 79 147 112 120
## [52] 117 46 108 28 131 61 93 71 19 65 110 13 58 135 72 13 88
## [69] 55 37 111 128 43 10 89 104 51 5 118 16 147 37 41 100 43
## [86] 68 144 85 150 107 76 108 125 134 113 68 6 1 23 67 76 74
## [103] 2 9 51 57 2 34 99 98 69 18 78 60 99 24 135 129 135
## [120] 101 150 118 114 140 66 10 113 56 2 100 7 3 5 131 126 102
## [137] 94 56 60 140 84 112 100 139 79 122 34 20 48 64
##
## $btree
## n= 150
##
## node), split, n, loss, yval, (yprob)
## * denotes terminal node
##
## 1) root 150 88 WinNF (0.25 0.41 0.073 0.02 0.033 0.21)
## 2) Ba< 0.27 120 59 WinNF (0.32 0.51 0.092 0.017 0.042 0.025)
## 4) Al< 1.415 74 38 WinF (0.49 0.35 0.095 0 0.027 0.041)
## 8) Ca< 10.505 67 31 WinF (0.54 0.28 0.1 0 0.03 0.045)
## 16) Ca>=8.54 35 8 WinF (0.77 0.029 0.11 0 0 0.086)
## 32) RI< 4.71 31 5 WinF (0.84 0.032 0.13 0 0 0)
## 64) Fe< 0.205 29 3 WinF (0.9 0 0.1 0 0 0)
## 128) Na< 14.265 28 2 WinF (0.93 0 0.071 0 0 0)
## 256) Al>=0.685 24 0 WinF (1 0 0 0 0 0) *
## 257) Al< 0.685 4 2 WinF (0.5 0 0.5 0 0 0)
## 514) RI>=3.67 2 0 WinF (1 0 0 0 0 0) *
## 515) RI< 3.67 2 0 Veh (0 0 1 0 0 0) *
## 129) Na>=14.265 1 0 Veh (0 0 1 0 0 0) *
## 65) Fe>=0.205 2 1 WinNF (0 0.5 0.5 0 0 0)
## 130) RI< 1.77 1 0 WinNF (0 1 0 0 0 0) *
## 131) RI>=1.77 1 0 Veh (0 0 1 0 0 0) *
## 33) RI>=4.71 4 1 Head (0.25 0 0 0 0 0.75)
## 66) RI>=6.91 1 0 WinF (1 0 0 0 0 0) *
## 67) RI< 6.91 3 0 Head (0 0 0 0 0 1) *
## 17) Ca< 8.54 32 14 WinNF (0.28 0.56 0.094 0 0.062 0)
## 34) Si>=73.08 9 2 WinF (0.78 0 0 0 0.22 0)
## 68) RI>=-4.48 7 0 WinF (1 0 0 0 0 0) *
## 69) RI< -4.48 2 0 Tabl (0 0 0 0 1 0) *
## 35) Si< 73.08 23 5 WinNF (0.087 0.78 0.13 0 0 0)
## 70) Al< 1.33 20 2 WinNF (0.1 0.9 0 0 0 0)
## 140) RI< -3.86 1 0 WinF (1 0 0 0 0 0) *
## 141) RI>=-3.86 19 1 WinNF (0.053 0.95 0 0 0 0)
## 282) Al>=1.28 2 1 WinF (0.5 0.5 0 0 0 0)
## 564) RI< 0.05 1 0 WinF (1 0 0 0 0 0) *
## 565) RI>=0.05 1 0 WinNF (0 1 0 0 0 0) *
## 283) Al< 1.28 17 0 WinNF (0 1 0 0 0 0) *
## 71) Al>=1.33 3 0 Veh (0 0 1 0 0 0) *
## 9) Ca>=10.505 7 0 WinNF (0 1 0 0 0 0) *
## 5) Al>=1.415 46 11 WinNF (0.043 0.76 0.087 0.043 0.065 0)
## 10) K>=0.19 43 8 WinNF (0.047 0.81 0.093 0.047 0 0)
## 20) Na>=11.24 41 6 WinNF (0.049 0.85 0.098 0 0 0)
## 40) Si>=72.165 34 2 WinNF (0.059 0.94 0 0 0 0)
## 80) RI< -2.195 4 2 WinF (0.5 0.5 0 0 0 0)
## 160) RI>=-2.3 2 0 WinF (1 0 0 0 0 0) *
## 161) RI< -2.3 2 0 WinNF (0 1 0 0 0 0) *
## 81) RI>=-2.195 30 0 WinNF (0 1 0 0 0 0) *
## 41) Si< 72.165 7 3 Veh (0 0.43 0.57 0 0 0)
## 82) Na>=13.62 3 0 WinNF (0 1 0 0 0 0) *
## 83) Na< 13.62 4 0 Veh (0 0 1 0 0 0) *
## 21) Na< 11.24 2 0 Con (0 0 0 1 0 0) *
## 11) K< 0.19 3 0 Tabl (0 0 0 0 1 0) *
## 3) Ba>=0.27 30 2 Head (0 0.033 0 0.033 0 0.93)
## 6) Si< 70.16 2 1 WinNF (0 0.5 0 0.5 0 0)
## 12) RI>=5.195 1 0 WinNF (0 1 0 0 0 0) *
## 13) RI< 5.195 1 0 Con (0 0 0 1 0 0) *
## 7) Si>=70.16 28 0 Head (0 0 0 0 0 1) *
##
## attr(,"class")
## class
## "sclass"
##
## $mtrees[[6]]
## $bindx
## [1] 93 91 50 91 25 121 133 68 129 99 9 7 1 140 34 80 28
## [18] 140 143 135 44 28 28 72 141 131 25 106 103 133 28 114 32 10
## [35] 133 133 102 54 33 17 69 47 50 18 103 79 113 74 71 112 21
## [52] 83 23 147 66 150 3 106 3 148 146 141 105 102 14 52 50 71
## [69] 62 54 93 103 82 50 22 88 76 149 25 64 144 120 7 66 58
## [86] 7 135 28 73 17 67 122 23 27 68 101 137 118 105 104 91 98
## [103] 106 95 119 70 29 11 55 76 135 97 44 3 8 140 54 110 30
## [120] 27 64 30 95 14 39 31 121 65 101 144 102 143 77 147 85 96
## [137] 25 21 128 141 34 62 49 71 54 142 29 76 34 9
##
## $btree
## n= 150
##
## node), split, n, loss, yval, (yprob)
## * denotes terminal node
##
## 1) root 150 90 WinNF (0.26 0.4 0.06 0.033 0.053 0.19)
## 2) Ba< 0.34 121 61 WinNF (0.32 0.5 0.074 0.025 0.066 0.017)
## 4) Ca< 8.46 49 7 WinNF (0.12 0.86 0 0 0.02 0)
## 8) RI>=-4.88 47 5 WinNF (0.11 0.89 0 0 0 0)
## 16) RI< -1.775 14 4 WinNF (0.29 0.71 0 0 0 0)
## 32) Na< 12.945 2 0 WinF (1 0 0 0 0 0) *
## 33) Na>=12.945 12 2 WinNF (0.17 0.83 0 0 0 0)
## 66) RI>=-1.945 3 1 WinF (0.67 0.33 0 0 0 0)
## 132) Na>=13.27 2 0 WinF (1 0 0 0 0 0) *
## 133) Na< 13.27 1 0 WinNF (0 1 0 0 0 0) *
## 67) RI< -1.945 9 0 WinNF (0 1 0 0 0 0) *
## 17) RI>=-1.775 33 1 WinNF (0.03 0.97 0 0 0 0)
## 34) K< 0.575 10 1 WinNF (0.1 0.9 0 0 0 0)
## 68) RI< -0.14 1 0 WinF (1 0 0 0 0 0) *
## 69) RI>=-0.14 9 0 WinNF (0 1 0 0 0 0) *
## 35) K>=0.575 23 0 WinNF (0 1 0 0 0 0) *
## 9) RI< -4.88 2 1 WinF (0.5 0 0 0 0.5 0)
## 18) RI>=-6.35 1 0 WinF (1 0 0 0 0 0) *
## 19) RI< -6.35 1 0 Tabl (0 0 0 0 1 0) *
## 5) Ca>=8.46 72 39 WinF (0.46 0.25 0.12 0.042 0.097 0.028)
## 10) Mg>=3.365 42 10 WinF (0.76 0.14 0.095 0 0 0)
## 20) Ba< 0.13 40 8 WinF (0.8 0.15 0.05 0 0 0)
## 40) Al< 1.45 37 5 WinF (0.86 0.11 0.027 0 0 0)
## 80) Ca>=8.535 31 2 WinF (0.94 0.032 0.032 0 0 0)
## 160) RI>=-0.93 30 1 WinF (0.97 0 0.033 0 0 0)
## 320) Na< 14.01 23 0 WinF (1 0 0 0 0 0) *
## 321) Na>=14.01 7 1 WinF (0.86 0 0.14 0 0 0)
## 642) RI>=3.67 6 0 WinF (1 0 0 0 0 0) *
## 643) RI< 3.67 1 0 Veh (0 0 1 0 0 0) *
## 161) RI< -0.93 1 0 WinNF (0 1 0 0 0 0) *
## 81) Ca< 8.535 6 3 WinF (0.5 0.5 0 0 0 0)
## 162) RI< 1.805 3 0 WinF (1 0 0 0 0 0) *
## 163) RI>=1.805 3 0 WinNF (0 1 0 0 0 0) *
## 41) Al>=1.45 3 1 WinNF (0 0.67 0.33 0 0 0)
## 82) RI>=0.24 2 0 WinNF (0 1 0 0 0 0) *
## 83) RI< 0.24 1 0 Veh (0 0 1 0 0 0) *
## 21) Ba>=0.13 2 0 Veh (0 0 1 0 0 0) *
## 11) Mg< 3.365 30 18 WinNF (0.033 0.4 0.17 0.1 0.23 0.067)
## 22) Na< 13.99 23 11 WinNF (0.043 0.52 0.22 0.13 0 0.087)
## 44) Mg< 3.295 18 6 WinNF (0.056 0.67 0 0.17 0 0.11)
## 88) RI>=-1.46 16 4 WinNF (0.063 0.75 0 0.19 0 0)
## 176) Al< 1.785 13 2 WinNF (0.077 0.85 0 0.077 0 0)
## 352) Mg>=2.86 3 1 WinNF (0.33 0.67 0 0 0 0)
## 704) RI>=-0.245 1 0 WinF (1 0 0 0 0 0) *
## 705) RI< -0.245 2 0 WinNF (0 1 0 0 0 0) *
## 353) Mg< 2.86 10 1 WinNF (0 0.9 0 0.1 0 0)
## 706) Al< 1.51 7 0 WinNF (0 1 0 0 0 0) *
## 707) Al>=1.51 3 1 WinNF (0 0.67 0 0.33 0 0)
## 1414) RI< 3.945 2 0 WinNF (0 1 0 0 0 0) *
## 1415) RI>=3.945 1 0 Con (0 0 0 1 0 0) *
## 177) Al>=1.785 3 1 Con (0 0.33 0 0.67 0 0)
## 354) RI>=3.95 1 0 WinNF (0 1 0 0 0 0) *
## 355) RI< 3.95 2 0 Con (0 0 0 1 0 0) *
## 89) RI< -1.46 2 0 Head (0 0 0 0 0 1) *
## 45) Mg>=3.295 5 0 Veh (0 0 1 0 0 0) *
## 23) Na>=13.99 7 0 Tabl (0 0 0 0 1 0) *
## 3) Ba>=0.34 29 2 Head (0 0 0 0.069 0 0.93)
## 6) Si< 70.16 2 0 Con (0 0 0 1 0 0) *
## 7) Si>=70.16 27 0 Head (0 0 0 0 0 1) *
##
## attr(,"class")
## class
## "sclass"
##
## $mtrees[[7]]
## $bindx
## [1] 100 14 131 119 93 26 72 68 17 2 48 101 31 83 25 14 120
## [18] 78 113 113 79 123 53 101 98 98 65 56 53 36 84 86 46 130
## [35] 125 100 143 100 34 145 39 4 79 123 134 128 94 34 141 106 52
## [52] 95 21 29 131 30 79 132 59 60 64 8 21 83 88 136 39 8
## [69] 117 104 124 113 54 101 86 10 45 100 37 112 132 18 5 62 35
## [86] 110 31 123 103 55 148 43 4 110 51 41 56 6 63 40 6 101
## [103] 122 12 139 92 46 98 45 136 6 36 26 146 126 136 31 51 132
## [120] 106 17 121 112 73 101 17 137 46 145 70 58 11 70 28 122 22
## [137] 55 36 52 63 21 8 85 41 44 66 39 36 18 22
##
## $btree
## n= 150
##
## node), split, n, loss, yval, (yprob)
## * denotes terminal node
##
## 1) root 150 86 WinNF (0.25 0.43 0.06 0.027 0.033 0.21)
## 2) Ba< 0.275 121 58 WinNF (0.31 0.52 0.074 0.025 0.041 0.033)
## 4) Al< 1.42 75 38 WinF (0.49 0.31 0.093 0.027 0.027 0.053)
## 8) Fe>=0.08 24 9 WinNF (0.29 0.62 0.083 0 0 0)
## 16) RI>=0.6 7 2 WinF (0.71 0.14 0.14 0 0 0)
## 32) Ba< 0.075 6 1 WinF (0.83 0.17 0 0 0 0)
## 64) RI< 6.67 5 0 WinF (1 0 0 0 0 0) *
## 65) RI>=6.67 1 0 WinNF (0 1 0 0 0 0) *
## 33) Ba>=0.075 1 0 Veh (0 0 1 0 0 0) *
## 17) RI< 0.6 17 3 WinNF (0.12 0.82 0.059 0 0 0)
## 34) Na< 12.905 3 1 WinF (0.67 0.33 0 0 0 0)
## 68) Si< 73.415 2 0 WinF (1 0 0 0 0 0) *
## 69) Si>=73.415 1 0 WinNF (0 1 0 0 0 0) *
## 35) Na>=12.905 14 1 WinNF (0 0.93 0.071 0 0 0)
## 70) Al< 1.325 10 0 WinNF (0 1 0 0 0 0) *
## 71) Al>=1.325 4 1 WinNF (0 0.75 0.25 0 0 0)
## 142) RI>=-0.505 3 0 WinNF (0 1 0 0 0 0) *
## 143) RI< -0.505 1 0 Veh (0 0 1 0 0 0) *
## 9) Fe< 0.08 51 21 WinF (0.59 0.16 0.098 0.039 0.039 0.078)
## 18) Ca< 10.655 45 15 WinF (0.67 0.089 0.11 0 0.044 0.089)
## 36) RI< 5.075 42 12 WinF (0.71 0.095 0.12 0 0.048 0.024)
## 72) Al>=0.715 34 6 WinF (0.82 0.12 0.029 0 0 0.029)
## 144) RI>=-0.95 29 2 WinF (0.93 0.069 0 0 0 0)
## 288) Mg< 3.745 26 0 WinF (1 0 0 0 0 0) *
## 289) Mg>=3.745 3 1 WinNF (0.33 0.67 0 0 0 0)
## 578) RI>=2.355 1 0 WinF (1 0 0 0 0 0) *
## 579) RI< 2.355 2 0 WinNF (0 1 0 0 0 0) *
## 145) RI< -0.95 5 3 WinNF (0.2 0.4 0.2 0 0 0.2)
## 290) RI>=-1.4 2 0 WinNF (0 1 0 0 0 0) *
## 291) RI< -1.4 3 2 WinF (0.33 0 0.33 0 0 0.33)
## 582) RI< -1.685 2 1 WinF (0.5 0 0.5 0 0 0)
## 1164) RI< -2.115 1 0 WinF (1 0 0 0 0 0) *
## 1165) RI>=-2.115 1 0 Veh (0 0 1 0 0 0) *
## 583) RI>=-1.685 1 0 Head (0 0 0 0 0 1) *
## 73) Al< 0.715 8 4 Veh (0.25 0 0.5 0 0.25 0)
## 146) Al< 0.525 4 2 WinF (0.5 0 0 0 0.5 0)
## 292) Na< 15.795 2 0 WinF (1 0 0 0 0 0) *
## 293) Na>=15.795 2 0 Tabl (0 0 0 0 1 0) *
## 147) Al>=0.525 4 0 Veh (0 0 1 0 0 0) *
## 37) RI>=5.075 3 0 Head (0 0 0 0 0 1) *
## 19) Ca>=10.655 6 2 WinNF (0 0.67 0 0.33 0 0)
## 38) RI>=3.1 4 0 WinNF (0 1 0 0 0 0) *
## 39) RI< 3.1 2 0 Con (0 0 0 1 0 0) *
## 5) Al>=1.42 46 6 WinNF (0 0.87 0.043 0.022 0.065 0)
## 10) Na< 14.925 43 3 WinNF (0 0.93 0.047 0.023 0 0)
## 20) Na>=11.24 42 2 WinNF (0 0.95 0.048 0 0 0)
## 40) Ca< 8.31 32 0 WinNF (0 1 0 0 0 0) *
## 41) Ca>=8.31 10 2 WinNF (0 0.8 0.2 0 0 0)
## 82) Mg< 3.145 8 0 WinNF (0 1 0 0 0 0) *
## 83) Mg>=3.145 2 0 Veh (0 0 1 0 0 0) *
## 21) Na< 11.24 1 0 Con (0 0 0 1 0 0) *
## 11) Na>=14.925 3 0 Tabl (0 0 0 0 1 0) *
## 3) Ba>=0.275 29 2 Head (0 0.034 0 0.034 0 0.93)
## 6) Si< 70.16 2 1 WinNF (0 0.5 0 0.5 0 0)
## 12) RI>=5.195 1 0 WinNF (0 1 0 0 0 0) *
## 13) RI< 5.195 1 0 Con (0 0 0 1 0 0) *
## 7) Si>=70.16 27 0 Head (0 0 0 0 0 1) *
##
## attr(,"class")
## class
## "sclass"
##
## $mtrees[[8]]
## $bindx
## [1] 19 117 45 7 51 14 57 139 137 98 106 37 108 100 128 78 147
## [18] 112 5 120 92 139 76 23 82 148 59 46 91 124 64 43 140 50
## [35] 42 95 82 134 83 26 75 127 12 42 39 147 101 100 76 121 119
## [52] 149 137 87 123 102 150 99 99 85 29 137 7 132 64 120 53 64
## [69] 67 111 93 147 31 137 103 38 2 98 84 64 132 46 62 5 57
## [86] 74 5 130 42 119 136 114 141 116 131 87 102 64 122 64 117 140
## [103] 139 4 107 117 137 32 143 108 38 131 13 41 119 9 99 72 77
## [120] 100 125 39 23 108 120 132 90 134 111 126 54 64 103 16 42 27
## [137] 9 73 146 150 126 101 30 116 133 98 125 52 74 26
##
## $btree
## n= 150
##
## node), split, n, loss, yval, (yprob)
## * denotes terminal node
##
## 1) root 150 90 WinNF (0.25 0.4 0.08 0.047 0.02 0.2)
## 2) Ba< 0.275 120 60 WinNF (0.32 0.5 0.1 0.05 0.025 0.0083)
## 4) Al< 1.335 53 20 WinF (0.62 0.3 0.057 0 0 0.019)
## 8) Ca< 10.42 47 14 WinF (0.7 0.21 0.064 0 0 0.021)
## 16) Ca>=8.535 33 6 WinF (0.82 0.061 0.091 0 0 0.03)
## 32) Fe< 0.195 29 3 WinF (0.9 0 0.069 0 0 0.034)
## 64) Al>=0.68 26 1 WinF (0.96 0 0 0 0 0.038)
## 128) Si< 74.225 25 0 WinF (1 0 0 0 0 0) *
## 129) Si>=74.225 1 0 Head (0 0 0 0 0 1) *
## 65) Al< 0.68 3 1 Veh (0.33 0 0.67 0 0 0)
## 130) RI>=3.67 1 0 WinF (1 0 0 0 0 0) *
## 131) RI< 3.67 2 0 Veh (0 0 1 0 0 0) *
## 33) Fe>=0.195 4 2 WinNF (0.25 0.5 0.25 0 0 0)
## 66) Ba< 0.075 3 1 WinNF (0.33 0.67 0 0 0 0)
## 132) Fe>=0.27 1 0 WinF (1 0 0 0 0 0) *
## 133) Fe< 0.27 2 0 WinNF (0 1 0 0 0 0) *
## 67) Ba>=0.075 1 0 Veh (0 0 1 0 0 0) *
## 17) Ca< 8.535 14 6 WinNF (0.43 0.57 0 0 0 0)
## 34) Si>=72.845 7 1 WinF (0.86 0.14 0 0 0 0)
## 68) RI>=-1.22 6 0 WinF (1 0 0 0 0 0) *
## 69) RI< -1.22 1 0 WinNF (0 1 0 0 0 0) *
## 35) Si< 72.845 7 0 WinNF (0 1 0 0 0 0) *
## 9) Ca>=10.42 6 0 WinNF (0 1 0 0 0 0) *
## 5) Al>=1.335 67 23 WinNF (0.075 0.66 0.13 0.09 0.045 0)
## 10) Ca< 11.205 59 17 WinNF (0.085 0.71 0.15 0 0.051 0)
## 20) K>=0.08 56 14 WinNF (0.089 0.75 0.16 0 0 0)
## 40) Al>=1.35 53 11 WinNF (0.094 0.79 0.11 0 0 0)
## 80) RI< -0.675 31 2 WinNF (0.032 0.94 0.032 0 0 0)
## 160) Na>=13.435 3 1 WinNF (0.33 0.67 0 0 0 0)
## 320) RI>=-2.04 1 0 WinF (1 0 0 0 0 0) *
## 321) RI< -2.04 2 0 WinNF (0 1 0 0 0 0) *
## 161) Na< 13.435 28 1 WinNF (0 0.96 0.036 0 0 0)
## 322) Si>=72.505 27 0 WinNF (0 1 0 0 0 0) *
## 323) Si< 72.505 1 0 Veh (0 0 1 0 0 0) *
## 81) RI>=-0.675 22 9 WinNF (0.18 0.59 0.23 0 0 0)
## 162) RI< -0.02 7 3 WinF (0.57 0 0.43 0 0 0)
## 324) Mg>=3.45 4 0 WinF (1 0 0 0 0 0) *
## 325) Mg< 3.45 3 0 Veh (0 0 1 0 0 0) *
## 163) RI>=-0.02 15 2 WinNF (0 0.87 0.13 0 0 0)
## 326) K< 0.555 10 0 WinNF (0 1 0 0 0 0) *
## 327) K>=0.555 5 2 WinNF (0 0.6 0.4 0 0 0)
## 654) Si>=72.325 3 0 WinNF (0 1 0 0 0 0) *
## 655) Si< 72.325 2 0 Veh (0 0 1 0 0 0) *
## 41) Al< 1.35 3 0 Veh (0 0 1 0 0 0) *
## 21) K< 0.08 3 0 Tabl (0 0 0 0 1 0) *
## 11) Ca>=11.205 8 2 Con (0 0.25 0 0.75 0 0)
## 22) Al< 1.435 2 0 WinNF (0 1 0 0 0 0) *
## 23) Al>=1.435 6 0 Con (0 0 0 1 0 0) *
## 3) Ba>=0.275 30 1 Head (0 0 0 0.033 0 0.97)
## 6) Al>=3.145 1 0 Con (0 0 0 1 0 0) *
## 7) Al< 3.145 29 0 Head (0 0 0 0 0 1) *
##
## attr(,"class")
## class
## "sclass"
##
## $mtrees[[9]]
## $bindx
## [1] 30 17 70 49 68 117 62 1 67 122 21 86 5 61 50 32 79
## [18] 135 5 97 43 82 68 113 55 33 45 86 4 115 133 6 110 98
## [35] 6 98 140 22 123 59 44 143 31 116 57 46 126 63 134 67 67
## [52] 145 128 68 95 110 21 140 83 56 144 116 35 64 140 57 93 146
## [69] 133 138 74 63 21 147 134 3 42 94 75 130 19 77 99 73 55
## [86] 82 47 32 96 5 43 46 90 74 20 80 36 15 18 41 5 132
## [103] 56 96 100 127 120 100 47 30 67 127 138 17 83 53 59 47 96
## [120] 90 99 60 105 85 145 103 41 11 134 27 114 43 113 69 1 5
## [137] 117 82 10 37 142 68 63 80 65 124 61 144 114 80
##
## $btree
## n= 150
##
## node), split, n, loss, yval, (yprob)
## * denotes terminal node
##
## 1) root 150 103 WinF (0.31 0.29 0.073 0.06 0.073 0.19)
## 2) Ba< 0.255 123 76 WinF (0.38 0.35 0.089 0.065 0.089 0.024)
## 4) Mg>=3.345 81 36 WinF (0.56 0.31 0.14 0 0 0)
## 8) Ca>=8.215 57 17 WinF (0.7 0.11 0.19 0 0 0)
## 16) RI>=-0.915 47 9 WinF (0.81 0.064 0.13 0 0 0)
## 32) Al>=0.68 45 7 WinF (0.84 0.067 0.089 0 0 0)
## 64) Fe< 0.335 43 5 WinF (0.88 0.07 0.047 0 0 0)
## 128) Mg< 3.88 41 3 WinF (0.93 0.049 0.024 0 0 0)
## 256) Al< 1.52 40 2 WinF (0.95 0.05 0 0 0 0)
## 512) Fe< 0.165 36 0 WinF (1 0 0 0 0 0) *
## 513) Fe>=0.165 4 2 WinF (0.5 0.5 0 0 0 0)
## 1026) RI< 0.135 1 0 WinF (1 0 0 0 0 0) *
## 1027) RI>=0.135 3 1 WinNF (0.33 0.67 0 0 0 0)
## 2054) RI>=2.015 1 0 WinF (1 0 0 0 0 0) *
## 2055) RI< 2.015 2 0 WinNF (0 1 0 0 0 0) *
## 257) Al>=1.52 1 0 Veh (0 0 1 0 0 0) *
## 129) Mg>=3.88 2 1 WinNF (0 0.5 0.5 0 0 0)
## 258) RI< 1.87 1 0 WinNF (0 1 0 0 0 0) *
## 259) RI>=1.87 1 0 Veh (0 0 1 0 0 0) *
## 65) Fe>=0.335 2 0 Veh (0 0 1 0 0 0) *
## 33) Al< 0.68 2 0 Veh (0 0 1 0 0 0) *
## 17) RI< -0.915 10 5 Veh (0.2 0.3 0.5 0 0 0)
## 34) Na< 13.065 5 2 WinNF (0.4 0.6 0 0 0 0)
## 68) RI< -3.615 2 0 WinF (1 0 0 0 0 0) *
## 69) RI>=-3.615 3 0 WinNF (0 1 0 0 0 0) *
## 35) Na>=13.065 5 0 Veh (0 0 1 0 0 0) *
## 9) Ca< 8.215 24 5 WinNF (0.21 0.79 0 0 0 0)
## 18) Ca< 7.865 4 1 WinF (0.75 0.25 0 0 0 0)
## 36) RI>=-2.04 3 0 WinF (1 0 0 0 0 0) *
## 37) RI< -2.04 1 0 WinNF (0 1 0 0 0 0) *
## 19) Ca>=7.865 20 2 WinNF (0.1 0.9 0 0 0 0)
## 38) Mg< 3.455 1 0 WinF (1 0 0 0 0 0) *
## 39) Mg>=3.455 19 1 WinNF (0.053 0.95 0 0 0 0)
## 78) Al< 1.16 1 0 WinF (1 0 0 0 0 0) *
## 79) Al>=1.16 18 0 WinNF (0 1 0 0 0 0) *
## 5) Mg< 3.345 42 24 WinNF (0.048 0.43 0 0.19 0.26 0.071)
## 10) Na< 13.945 31 13 WinNF (0.065 0.58 0 0.26 0 0.097)
## 20) Al< 1.38 19 5 WinNF (0.11 0.74 0 0 0 0.16)
## 40) K< 0.37 12 0 WinNF (0 1 0 0 0 0) *
## 41) K>=0.37 7 4 Head (0.29 0.29 0 0 0 0.43)
## 82) K< 0.565 2 0 WinF (1 0 0 0 0 0) *
## 83) K>=0.565 5 2 Head (0 0.4 0 0 0 0.6)
## 166) Fe>=0.12 2 0 WinNF (0 1 0 0 0 0) *
## 167) Fe< 0.12 3 0 Head (0 0 0 0 0 1) *
## 21) Al>=1.38 12 4 Con (0 0.33 0 0.67 0 0)
## 42) K>=0.36 5 1 WinNF (0 0.8 0 0.2 0 0)
## 84) RI< 0.02 3 0 WinNF (0 1 0 0 0 0) *
## 85) RI>=0.02 2 1 WinNF (0 0.5 0 0.5 0 0)
## 170) RI>=3.95 1 0 WinNF (0 1 0 0 0 0) *
## 171) RI< 3.95 1 0 Con (0 0 0 1 0 0) *
## 43) K< 0.36 7 0 Con (0 0 0 1 0 0) *
## 11) Na>=13.945 11 0 Tabl (0 0 0 0 1 0) *
## 3) Ba>=0.255 27 2 Head (0 0.037 0 0.037 0 0.93)
## 6) Si< 70.16 2 1 WinNF (0 0.5 0 0.5 0 0)
## 12) RI>=5.195 1 0 WinNF (0 1 0 0 0 0) *
## 13) RI< 5.195 1 0 Con (0 0 0 1 0 0) *
## 7) Si>=70.16 25 0 Head (0 0 0 0 0 1) *
##
## attr(,"class")
## class
## "sclass"
##
## $mtrees[[10]]
## $bindx
## [1] 93 83 91 46 47 122 74 110 10 144 51 108 99 85 12 3 134
## [18] 45 117 42 15 49 37 102 77 24 115 119 61 92 19 36 48 25
## [35] 35 104 91 118 22 101 149 52 13 28 88 29 37 84 69 25 79
## [52] 124 119 147 46 74 133 144 92 13 28 35 11 140 42 110 128 139
## [69] 19 24 57 11 37 51 88 32 71 5 45 33 68 104 33 50 57
## [86] 134 72 133 142 115 122 29 12 67 59 96 73 133 9 92 101 98
## [103] 121 73 120 105 27 117 130 99 34 104 6 99 85 8 53 101 87
## [120] 148 63 110 18 4 130 128 72 8 77 81 92 75 131 97 107 93
## [137] 49 10 6 127 135 87 22 139 76 79 89 99 148 81
##
## $btree
## n= 150
##
## node), split, n, loss, yval, (yprob)
## * denotes terminal node
##
## 1) root 150 90 WinNF (0.27 0.4 0.11 0.04 0.04 0.14)
## 2) Ba< 0.34 129 69 WinNF (0.32 0.47 0.12 0.031 0.047 0.016)
## 4) Al< 1.425 85 46 WinF (0.46 0.36 0.12 0 0.035 0.024)
## 8) Ca< 10.58 73 34 WinF (0.53 0.26 0.14 0 0.041 0.027)
## 16) Mg< 3.79 66 27 WinF (0.59 0.18 0.15 0 0.045 0.03)
## 32) Na< 14.01 60 21 WinF (0.65 0.2 0.12 0 0 0.033)
## 64) Si>=72.98 17 0 WinF (1 0 0 0 0 0) *
## 65) Si< 72.98 43 21 WinF (0.51 0.28 0.16 0 0 0.047)
## 130) Ca>=8.465 29 8 WinF (0.72 0.14 0.069 0 0 0.069)
## 260) Fe< 0.195 24 3 WinF (0.88 0.042 0 0 0 0.083)
## 520) Mg>=3.345 20 1 WinF (0.95 0.05 0 0 0 0)
## 1040) Ca>=8.545 17 0 WinF (1 0 0 0 0 0) *
## 1041) Ca< 8.545 3 1 WinF (0.67 0.33 0 0 0 0)
## 2082) RI< 1.805 2 0 WinF (1 0 0 0 0 0) *
## 2083) RI>=1.805 1 0 WinNF (0 1 0 0 0 0) *
## 521) Mg< 3.345 4 2 WinF (0.5 0 0 0 0 0.5)
## 1042) RI< 3.205 2 0 WinF (1 0 0 0 0 0) *
## 1043) RI>=3.205 2 0 Head (0 0 0 0 0 1) *
## 261) Fe>=0.195 5 2 WinNF (0 0.6 0.4 0 0 0)
## 522) RI< 0.875 3 0 WinNF (0 1 0 0 0 0) *
## 523) RI>=0.875 2 0 Veh (0 0 1 0 0 0) *
## 131) Ca< 8.465 14 6 WinNF (0.071 0.57 0.36 0 0 0)
## 262) Al< 1.33 10 2 WinNF (0.1 0.8 0.1 0 0 0)
## 524) RI>=-1.885 9 1 WinNF (0.11 0.89 0 0 0 0)
## 1048) Mg>=3.66 3 1 WinNF (0.33 0.67 0 0 0 0)
## 2096) Si>=72.505 1 0 WinF (1 0 0 0 0 0) *
## 2097) Si< 72.505 2 0 WinNF (0 1 0 0 0 0) *
## 1049) Mg< 3.66 6 0 WinNF (0 1 0 0 0 0) *
## 525) RI< -1.885 1 0 Veh (0 0 1 0 0 0) *
## 263) Al>=1.33 4 0 Veh (0 0 1 0 0 0) *
## 33) Na>=14.01 6 3 Veh (0 0 0.5 0 0.5 0)
## 66) RI>=-1.82 3 0 Veh (0 0 1 0 0 0) *
## 67) RI< -1.82 3 0 Tabl (0 0 0 0 1 0) *
## 17) Mg>=3.79 7 0 WinNF (0 1 0 0 0 0) *
## 9) Ca>=10.58 12 0 WinNF (0 1 0 0 0 0) *
## 5) Al>=1.425 44 15 WinNF (0.045 0.66 0.14 0.091 0.068 0)
## 10) Ca< 8.325 26 2 WinNF (0.077 0.92 0 0 0 0)
## 20) Ca< 7.835 2 1 WinF (0.5 0.5 0 0 0 0)
## 40) RI>=-2.04 1 0 WinF (1 0 0 0 0 0) *
## 41) RI< -2.04 1 0 WinNF (0 1 0 0 0 0) *
## 21) Ca>=7.835 24 1 WinNF (0.042 0.96 0 0 0 0)
## 42) RI< -2.165 3 1 WinNF (0.33 0.67 0 0 0 0)
## 84) RI>=-2.3 1 0 WinF (1 0 0 0 0 0) *
## 85) RI< -2.3 2 0 WinNF (0 1 0 0 0 0) *
## 43) RI>=-2.165 21 0 WinNF (0 1 0 0 0 0) *
## 11) Ca>=8.325 18 12 Veh (0 0.28 0.33 0.22 0.17 0)
## 22) Mg>=3.11 6 0 Veh (0 0 1 0 0 0) *
## 23) Mg< 3.11 12 7 WinNF (0 0.42 0 0.33 0.25 0)
## 46) Na< 14.035 9 4 WinNF (0 0.56 0 0.44 0 0)
## 92) K>=0.665 4 0 WinNF (0 1 0 0 0 0) *
## 93) K< 0.665 5 1 Con (0 0.2 0 0.8 0 0)
## 186) Na>=13.475 1 0 WinNF (0 1 0 0 0 0) *
## 187) Na< 13.475 4 0 Con (0 0 0 1 0 0) *
## 47) Na>=14.035 3 0 Tabl (0 0 0 0 1 0) *
## 3) Ba>=0.34 21 2 Head (0 0 0 0.095 0 0.9)
## 6) Si< 71.25 2 0 Con (0 0 0 1 0 0) *
## 7) Si>=71.25 19 0 Head (0 0 0 0 0 1) *
##
## attr(,"class")
## class
## "sclass"
##
## $mtrees[[11]]
## $bindx
## [1] 74 118 74 125 6 68 36 86 30 80 55 30 57 50 89 61 49
## [18] 60 143 144 147 57 4 34 43 122 148 41 41 30 35 143 148 63
## [35] 75 128 68 4 16 66 27 52 45 62 9 133 9 49 21 69 23
## [52] 89 98 60 60 121 70 107 64 77 105 5 133 5 98 12 80 79
## [69] 54 5 86 24 98 32 90 52 1 15 71 45 134 72 92 31 75
## [86] 41 32 10 101 150 91 18 78 40 114 121 35 102 8 20 139 29
## [103] 16 132 47 127 141 53 101 124 66 102 78 49 50 148 150 130 84
## [120] 132 38 45 72 8 44 138 103 17 11 66 51 2 120 52 55 111
## [137] 42 104 139 115 72 6 111 95 26 148 47 149 113 106
##
## $btree
## n= 150
##
## node), split, n, loss, yval, (yprob)
## * denotes terminal node
##
## 1) root 150 97 WinF (0.35 0.33 0.067 0.027 0.02 0.21)
## 2) Ba< 0.34 123 70 WinF (0.43 0.4 0.081 0.033 0.024 0.033)
## 4) Al< 1.42 83 33 WinF (0.6 0.27 0.072 0 0.012 0.048)
## 8) Mg>=1.42 73 23 WinF (0.68 0.21 0.082 0 0 0.027)
## 16) Ca>=8.465 50 10 WinF (0.8 0.1 0.06 0 0 0.04)
## 32) Fe< 0.195 43 4 WinF (0.91 0.023 0.023 0 0 0.047)
## 64) Mg< 3.88 42 3 WinF (0.93 0.024 0 0 0 0.048)
## 128) RI< 5.075 38 1 WinF (0.97 0.026 0 0 0 0)
## 256) RI>=-0.91 36 0 WinF (1 0 0 0 0 0) *
## 257) RI< -0.91 2 1 WinF (0.5 0.5 0 0 0 0)
## 514) RI< -1.83 1 0 WinF (1 0 0 0 0 0) *
## 515) RI>=-1.83 1 0 WinNF (0 1 0 0 0 0) *
## 129) RI>=5.075 4 2 WinF (0.5 0 0 0 0 0.5)
## 258) RI>=6.91 2 0 WinF (1 0 0 0 0 0) *
## 259) RI< 6.91 2 0 Head (0 0 0 0 0 1) *
## 65) Mg>=3.88 1 0 Veh (0 0 1 0 0 0) *
## 33) Fe>=0.195 7 3 WinNF (0.14 0.57 0.29 0 0 0)
## 66) Al>=1.01 5 1 WinNF (0.2 0.8 0 0 0 0)
## 132) Na< 12.83 1 0 WinF (1 0 0 0 0 0) *
## 133) Na>=12.83 4 0 WinNF (0 1 0 0 0 0) *
## 67) Al< 1.01 2 0 Veh (0 0 1 0 0 0) *
## 17) Ca< 8.465 23 13 WinF (0.43 0.43 0.13 0 0 0)
## 34) RI< -0.005 15 5 WinF (0.67 0.13 0.2 0 0 0)
## 68) RI>=-0.935 8 0 WinF (1 0 0 0 0 0) *
## 69) RI< -0.935 7 4 Veh (0.29 0.29 0.43 0 0 0)
## 138) Si>=72.755 4 2 WinF (0.5 0.5 0 0 0 0)
## 276) Si>=72.93 2 0 WinF (1 0 0 0 0 0) *
## 277) Si< 72.93 2 0 WinNF (0 1 0 0 0 0) *
## 139) Si< 72.755 3 0 Veh (0 0 1 0 0 0) *
## 35) RI>=-0.005 8 0 WinNF (0 1 0 0 0 0) *
## 9) Mg< 1.42 10 3 WinNF (0 0.7 0 0 0.1 0.2)
## 18) RI>=-0.645 8 1 WinNF (0 0.88 0 0 0.13 0)
## 36) Na< 14.14 7 0 WinNF (0 1 0 0 0 0) *
## 37) Na>=14.14 1 0 Tabl (0 0 0 0 1 0) *
## 19) RI< -0.645 2 0 Head (0 0 0 0 0 1) *
## 5) Al>=1.42 40 13 WinNF (0.075 0.67 0.1 0.1 0.05 0)
## 10) Si< 73.335 37 10 WinNF (0.081 0.73 0.11 0.027 0.054 0)
## 20) K>=0.08 35 8 WinNF (0.086 0.77 0.11 0.029 0 0)
## 40) K>=0.605 19 1 WinNF (0.053 0.95 0 0 0 0)
## 80) RI< -2.195 2 1 WinF (0.5 0.5 0 0 0 0)
## 160) RI>=-3.1 1 0 WinF (1 0 0 0 0 0) *
## 161) RI< -3.1 1 0 WinNF (0 1 0 0 0 0) *
## 81) RI>=-2.195 17 0 WinNF (0 1 0 0 0 0) *
## 41) K< 0.605 16 7 WinNF (0.12 0.56 0.25 0.063 0 0)
## 82) Al< 1.51 5 0 WinNF (0 1 0 0 0 0) *
## 83) Al>=1.51 11 7 WinNF (0.18 0.36 0.36 0.091 0 0)
## 166) Na>=13.755 3 0 WinNF (0 1 0 0 0 0) *
## 167) Na< 13.755 8 4 Veh (0.25 0.12 0.5 0.13 0 0)
## 334) Si>=72.495 4 2 WinF (0.5 0.25 0 0.25 0 0)
## 668) Si>=72.71 2 0 WinF (1 0 0 0 0 0) *
## 669) Si< 72.71 2 1 WinNF (0 0.5 0 0.5 0 0)
## 1338) RI< 0.935 1 0 WinNF (0 1 0 0 0 0) *
## 1339) RI>=0.935 1 0 Con (0 0 0 1 0 0) *
## 335) Si< 72.495 4 0 Veh (0 0 1 0 0 0) *
## 21) K< 0.08 2 0 Tabl (0 0 0 0 1 0) *
## 11) Si>=73.335 3 0 Con (0 0 0 1 0 0) *
## 3) Ba>=0.34 27 0 Head (0 0 0 0 0 1) *
##
## attr(,"class")
## class
## "sclass"
##
## $mtrees[[12]]
## $bindx
## [1] 13 96 88 110 150 11 34 105 35 58 58 139 47 28 129 135 72
## [18] 69 150 93 102 7 129 79 40 80 14 112 85 114 36 28 55 33
## [35] 89 117 87 50 2 107 21 36 29 52 70 85 50 149 122 11 100
## [52] 140 116 98 41 108 89 94 42 127 12 60 14 115 98 73 55 27
## [69] 3 147 76 42 126 2 33 138 100 27 100 101 19 86 3 49 126
## [86] 107 126 132 4 40 103 45 76 137 85 76 66 125 27 85 77 93
## [103] 48 139 133 100 141 35 129 104 4 60 61 147 137 60 146 64 34
## [120] 120 36 36 9 50 98 80 54 8 142 135 136 17 129 34 25 67
## [137] 60 35 105 139 47 107 26 128 68 82 105 114 40 140
##
## $btree
## n= 150
##
## node), split, n, loss, yval, (yprob)
## * denotes terminal node
##
## 1) root 150 98 WinNF (0.23 0.35 0.073 0.067 0.067 0.21)
## 2) Ba< 0.275 115 64 WinNF (0.3 0.44 0.096 0.07 0.087 0)
## 4) K>=0.605 30 2 WinNF (0.067 0.93 0 0 0 0)
## 8) RI>=-0.71 4 2 WinF (0.5 0.5 0 0 0 0)
## 16) RI< 0.045 2 0 WinF (1 0 0 0 0 0) *
## 17) RI>=0.045 2 0 WinNF (0 1 0 0 0 0) *
## 9) RI< -0.71 26 0 WinNF (0 1 0 0 0 0) *
## 5) K< 0.605 85 52 WinF (0.39 0.27 0.13 0.094 0.12 0)
## 10) Mg>=2.62 62 29 WinF (0.53 0.29 0.18 0 0 0)
## 20) Mg< 3.855 55 22 WinF (0.6 0.2 0.2 0 0 0)
## 40) Si>=72.71 25 8 WinF (0.68 0.32 0 0 0 0)
## 80) Mg< 3.67 21 4 WinF (0.81 0.19 0 0 0 0)
## 160) Mg>=3.445 17 1 WinF (0.94 0.059 0 0 0 0)
## 320) Ca< 8.585 16 0 WinF (1 0 0 0 0 0) *
## 321) Ca>=8.585 1 0 WinNF (0 1 0 0 0 0) *
## 161) Mg< 3.445 4 1 WinNF (0.25 0.75 0 0 0 0)
## 322) RI>=-0.38 1 0 WinF (1 0 0 0 0 0) *
## 323) RI< -0.38 3 0 WinNF (0 1 0 0 0 0) *
## 81) Mg>=3.67 4 0 WinNF (0 1 0 0 0 0) *
## 41) Si< 72.71 30 14 WinF (0.53 0.1 0.37 0 0 0)
## 82) Al< 1.33 21 6 WinF (0.71 0.14 0.14 0 0 0)
## 164) Ca>=8.215 19 4 WinF (0.79 0.053 0.16 0 0 0)
## 328) Fe< 0.205 17 2 WinF (0.88 0.059 0.059 0 0 0)
## 656) Al< 1.305 16 1 WinF (0.94 0 0.062 0 0 0)
## 1312) Al>=0.65 12 0 WinF (1 0 0 0 0 0) *
## 1313) Al< 0.65 4 1 WinF (0.75 0 0.25 0 0 0)
## 2626) RI>=3.67 3 0 WinF (1 0 0 0 0 0) *
## 2627) RI< 3.67 1 0 Veh (0 0 1 0 0 0) *
## 657) Al>=1.305 1 0 WinNF (0 1 0 0 0 0) *
## 329) Fe>=0.205 2 0 Veh (0 0 1 0 0 0) *
## 165) Ca< 8.215 2 0 WinNF (0 1 0 0 0 0) *
## 83) Al>=1.33 9 1 Veh (0.11 0 0.89 0 0 0)
## 166) Na< 13.225 1 0 WinF (1 0 0 0 0 0) *
## 167) Na>=13.225 8 0 Veh (0 0 1 0 0 0) *
## 21) Mg>=3.855 7 0 WinNF (0 1 0 0 0 0) *
## 11) Mg< 2.62 23 13 Tabl (0 0.22 0 0.35 0.43 0)
## 22) Na< 13.99 13 5 Con (0 0.38 0 0.62 0 0)
## 44) RI>=7.165 4 0 WinNF (0 1 0 0 0 0) *
## 45) RI< 7.165 9 1 Con (0 0.11 0 0.89 0 0)
## 90) Na>=13.71 1 0 WinNF (0 1 0 0 0 0) *
## 91) Na< 13.71 8 0 Con (0 0 0 1 0 0) *
## 23) Na>=13.99 10 0 Tabl (0 0 0 0 1 0) *
## 3) Ba>=0.275 35 3 Head (0 0.029 0 0.057 0 0.91)
## 6) Si< 70.16 3 1 Con (0 0.33 0 0.67 0 0)
## 12) RI>=5.195 1 0 WinNF (0 1 0 0 0 0) *
## 13) RI< 5.195 2 0 Con (0 0 0 1 0 0) *
## 7) Si>=70.16 32 0 Head (0 0 0 0 0 1) *
##
## attr(,"class")
## class
## "sclass"
##
## $mtrees[[13]]
## $bindx
## [1] 119 19 108 83 122 22 148 69 107 21 100 48 21 45 116 133 15
## [18] 3 64 73 140 43 34 1 122 14 68 104 99 74 114 63 144 115
## [35] 24 105 114 52 98 119 88 21 85 105 51 60 36 103 123 123 91
## [52] 149 26 134 14 69 128 38 27 76 64 6 99 138 134 18 23 23
## [69] 69 145 93 13 4 17 37 46 133 57 53 95 62 85 95 96 89
## [86] 147 136 53 34 39 45 22 76 2 89 129 55 80 22 22 126 130
## [103] 58 20 118 75 83 82 54 35 59 100 9 18 90 147 15 103 130
## [120] 128 61 31 130 60 68 57 130 7 8 119 37 64 13 19 81 96
## [137] 39 149 30 23 77 80 144 116 82 19 1 54 146 8
##
## $btree
## n= 150
##
## node), split, n, loss, yval, (yprob)
## * denotes terminal node
##
## 1) root 150 93 WinNF (0.29 0.38 0.1 0.04 0.047 0.15)
## 2) Ba< 0.245 128 71 WinNF (0.34 0.45 0.12 0.039 0.055 0.0078)
## 4) Ca< 8.315 37 5 WinNF (0.14 0.86 0 0 0 0)
## 8) Na>=13.455 9 4 WinNF (0.44 0.56 0 0 0 0)
## 16) Si>=72.59 5 1 WinF (0.8 0.2 0 0 0 0)
## 32) RI>=-1.845 4 0 WinF (1 0 0 0 0 0) *
## 33) RI< -1.845 1 0 WinNF (0 1 0 0 0 0) *
## 17) Si< 72.59 4 0 WinNF (0 1 0 0 0 0) *
## 9) Na< 13.455 28 1 WinNF (0.036 0.96 0 0 0 0)
## 18) Na< 12.755 1 0 WinF (1 0 0 0 0 0) *
## 19) Na>=12.755 27 0 WinNF (0 1 0 0 0 0) *
## 5) Ca>=8.315 91 53 WinF (0.42 0.27 0.16 0.055 0.077 0.011)
## 10) Mg>=2.63 68 30 WinF (0.56 0.21 0.22 0 0 0.015)
## 20) Al< 1.45 55 18 WinF (0.67 0.16 0.15 0 0 0.018)
## 40) Ca>=8.535 41 9 WinF (0.78 0.073 0.12 0 0 0.024)
## 80) Al>=0.685 35 5 WinF (0.86 0.057 0.057 0 0 0.029)
## 160) Fe< 0.195 31 2 WinF (0.94 0 0.032 0 0 0.032)
## 320) Mg< 3.88 30 1 WinF (0.97 0 0 0 0 0.033)
## 640) RI< 5.075 28 0 WinF (1 0 0 0 0 0) *
## 641) RI>=5.075 2 1 WinF (0.5 0 0 0 0 0.5)
## 1282) RI>=6.91 1 0 WinF (1 0 0 0 0 0) *
## 1283) RI< 6.91 1 0 Head (0 0 0 0 0 1) *
## 321) Mg>=3.88 1 0 Veh (0 0 1 0 0 0) *
## 161) Fe>=0.195 4 2 WinNF (0.25 0.5 0.25 0 0 0)
## 322) K>=0.63 2 0 WinNF (0 1 0 0 0 0) *
## 323) K< 0.63 2 1 WinF (0.5 0 0.5 0 0 0)
## 646) RI< 1.985 1 0 WinF (1 0 0 0 0 0) *
## 647) RI>=1.985 1 0 Veh (0 0 1 0 0 0) *
## 81) Al< 0.685 6 3 Veh (0.33 0.17 0.5 0 0 0)
## 162) RI>=3.67 3 1 WinF (0.67 0.33 0 0 0 0)
## 324) RI< 6.69 2 0 WinF (1 0 0 0 0 0) *
## 325) RI>=6.69 1 0 WinNF (0 1 0 0 0 0) *
## 163) RI< 3.67 3 0 Veh (0 0 1 0 0 0) *
## 41) Ca< 8.535 14 8 WinNF (0.36 0.43 0.21 0 0 0)
## 82) RI< -0.05 8 3 WinF (0.62 0 0.38 0 0 0)
## 164) Na< 13.16 5 0 WinF (1 0 0 0 0 0) *
## 165) Na>=13.16 3 0 Veh (0 0 1 0 0 0) *
## 83) RI>=-0.05 6 0 WinNF (0 1 0 0 0 0) *
## 21) Al>=1.45 13 6 Veh (0.077 0.38 0.54 0 0 0)
## 42) Na< 13.08 6 1 WinNF (0.17 0.83 0 0 0 0)
## 84) Na>=12.975 1 0 WinF (1 0 0 0 0 0) *
## 85) Na< 12.975 5 0 WinNF (0 1 0 0 0 0) *
## 43) Na>=13.08 7 0 Veh (0 0 1 0 0 0) *
## 11) Mg< 2.63 23 12 WinNF (0 0.48 0 0.22 0.3 0)
## 22) Na< 13.99 16 5 WinNF (0 0.69 0 0.31 0 0)
## 44) Si< 72.205 10 0 WinNF (0 1 0 0 0 0) *
## 45) Si>=72.205 6 1 Con (0 0.17 0 0.83 0 0)
## 90) RI>=7.165 1 0 WinNF (0 1 0 0 0 0) *
## 91) RI< 7.165 5 0 Con (0 0 0 1 0 0) *
## 23) Na>=13.99 7 0 Tabl (0 0 0 0 1 0) *
## 3) Ba>=0.245 22 1 Head (0 0 0 0.045 0 0.95)
## 6) RI< -2.705 1 0 Con (0 0 0 1 0 0) *
## 7) RI>=-2.705 21 0 Head (0 0 0 0 0 1) *
##
## attr(,"class")
## class
## "sclass"
##
## $mtrees[[14]]
## $bindx
## [1] 39 140 14 70 107 31 60 148 30 110 142 104 126 96 103 14 96
## [18] 61 115 32 81 46 85 21 56 139 128 83 139 57 7 19 34 99
## [35] 104 7 35 92 83 107 143 5 108 95 52 46 126 139 50 38 44
## [52] 117 88 35 68 35 22 30 115 119 128 95 135 92 149 77 71 59
## [69] 72 69 132 110 2 107 103 61 95 74 107 136 136 41 10 45 88
## [86] 82 127 68 65 56 16 143 101 59 97 125 138 29 29 116 99 39
## [103] 148 114 19 123 133 110 11 102 86 19 132 35 30 28 70 18 136
## [120] 48 23 45 115 30 147 126 139 13 64 66 133 105 75 23 85 23
## [137] 90 124 5 81 85 34 78 127 97 40 98 28 30 145
##
## $btree
## n= 150
##
## node), split, n, loss, yval, (yprob)
## * denotes terminal node
##
## 1) root 150 97 WinNF (0.29 0.35 0.093 0.06 0.047 0.15)
## 2) Ba< 0.275 129 76 WinNF (0.34 0.41 0.11 0.07 0.054 0.016)
## 4) Al< 1.405 81 39 WinF (0.52 0.27 0.12 0.012 0.049 0.025)
## 8) Ca< 10.505 71 29 WinF (0.59 0.2 0.14 0 0.042 0.028)
## 16) RI>=-0.935 56 15 WinF (0.73 0.18 0.089 0 0 0)
## 32) Fe< 0.195 47 6 WinF (0.87 0.11 0.021 0 0 0)
## 64) Mg< 3.915 44 3 WinF (0.93 0.045 0.023 0 0 0)
## 128) Al>=0.68 42 2 WinF (0.95 0.048 0 0 0 0)
## 256) Mg< 3.75 31 0 WinF (1 0 0 0 0 0) *
## 257) Mg>=3.75 11 2 WinF (0.82 0.18 0 0 0 0)
## 514) Al< 1.075 9 0 WinF (1 0 0 0 0 0) *
## 515) Al>=1.075 2 0 WinNF (0 1 0 0 0 0) *
## 129) Al< 0.68 2 1 WinF (0.5 0 0.5 0 0 0)
## 258) RI>=1.96 1 0 WinF (1 0 0 0 0 0) *
## 259) RI< 1.96 1 0 Veh (0 0 1 0 0 0) *
## 65) Mg>=3.915 3 0 WinNF (0 1 0 0 0 0) *
## 33) Fe>=0.195 9 4 WinNF (0 0.56 0.44 0 0 0)
## 66) RI< 0.91 5 0 WinNF (0 1 0 0 0 0) *
## 67) RI>=0.91 4 0 Veh (0 0 1 0 0 0) *
## 17) RI< -0.935 15 10 Veh (0.067 0.27 0.33 0 0.2 0.13)
## 34) Si< 72.725 5 0 Veh (0 0 1 0 0 0) *
## 35) Si>=72.725 10 6 WinNF (0.1 0.4 0 0 0.3 0.2)
## 70) Si< 73.125 4 0 WinNF (0 1 0 0 0 0) *
## 71) Si>=73.125 6 3 Tabl (0.17 0 0 0 0.5 0.33)
## 142) RI>=-4.48 3 1 Head (0.33 0 0 0 0 0.67)
## 284) RI< -1.79 1 0 WinF (1 0 0 0 0 0) *
## 285) RI>=-1.79 2 0 Head (0 0 0 0 0 1) *
## 143) RI< -4.48 3 0 Tabl (0 0 0 0 1 0) *
## 9) Ca>=10.505 10 2 WinNF (0 0.8 0 0.1 0.1 0)
## 18) Na< 14.18 9 1 WinNF (0 0.89 0 0.11 0 0)
## 36) Al< 1.38 8 0 WinNF (0 1 0 0 0 0) *
## 37) Al>=1.38 1 0 Con (0 0 0 1 0 0) *
## 19) Na>=14.18 1 0 Tabl (0 0 0 0 1 0) *
## 5) Al>=1.405 48 17 WinNF (0.042 0.65 0.083 0.17 0.062 0)
## 10) Mg>=2.26 37 6 WinNF (0.054 0.84 0.11 0 0 0)
## 20) Ca< 8.67 30 2 WinNF (0.067 0.93 0 0 0 0)
## 40) Ca>=8.37 8 2 WinNF (0.25 0.75 0 0 0 0)
## 80) Na>=12.975 2 0 WinF (1 0 0 0 0 0) *
## 81) Na< 12.975 6 0 WinNF (0 1 0 0 0 0) *
## 41) Ca< 8.37 22 0 WinNF (0 1 0 0 0 0) *
## 21) Ca>=8.67 7 3 Veh (0 0.43 0.57 0 0 0)
## 42) Mg< 3.15 3 0 WinNF (0 1 0 0 0 0) *
## 43) Mg>=3.15 4 0 Veh (0 0 1 0 0 0) *
## 11) Mg< 2.26 11 3 Con (0 0 0 0.73 0.27 0)
## 22) RI>=1.015 8 0 Con (0 0 0 1 0 0) *
## 23) RI< 1.015 3 0 Tabl (0 0 0 0 1 0) *
## 3) Ba>=0.275 21 0 Head (0 0 0 0 0 1) *
##
## attr(,"class")
## class
## "sclass"
##
## $mtrees[[15]]
## $bindx
## [1] 57 130 105 104 20 19 95 147 67 128 19 121 141 37 132 21 68
## [18] 36 78 83 39 63 108 69 103 92 28 19 6 108 96 35 2 36
## [35] 14 54 139 131 117 97 68 83 145 30 3 142 24 135 5 28 98
## [52] 105 39 13 117 120 15 66 123 55 29 131 5 19 94 142 94 13
## [69] 44 52 34 115 51 85 46 70 66 70 139 10 38 89 89 136 49
## [86] 136 52 98 89 117 147 133 23 99 14 115 68 92 43 63 96 81
## [103] 14 21 98 7 144 108 52 103 135 119 37 72 65 115 77 145 127
## [120] 22 124 57 17 62 141 64 8 43 51 129 84 92 38 114 8 55
## [137] 48 83 81 49 123 82 30 134 142 84 131 131 145 95
##
## $btree
## n= 150
##
## node), split, n, loss, yval, (yprob)
## * denotes terminal node
##
## 1) root 150 87 WinNF (0.28 0.42 0.08 0.06 0.027 0.13)
## 2) Ba< 0.34 129 68 WinNF (0.33 0.47 0.093 0.07 0.031 0.0078)
## 4) Ca< 8.43 59 12 WinNF (0.12 0.8 0.085 0 0 0)
## 8) Al< 1.175 10 4 WinF (0.6 0.4 0 0 0 0)
## 16) RI< -0.19 6 0 WinF (1 0 0 0 0 0) *
## 17) RI>=-0.19 4 0 WinNF (0 1 0 0 0 0) *
## 9) Al>=1.175 49 6 WinNF (0.02 0.88 0.1 0 0 0)
## 18) Ca< 8.325 44 2 WinNF (0.023 0.95 0.023 0 0 0)
## 36) Mg>=3.45 37 0 WinNF (0 1 0 0 0 0) *
## 37) Mg< 3.45 7 2 WinNF (0.14 0.71 0.14 0 0 0)
## 74) Mg>=3.37 2 1 WinF (0.5 0 0.5 0 0 0)
## 148) RI< -2.005 1 0 WinF (1 0 0 0 0 0) *
## 149) RI>=-2.005 1 0 Veh (0 0 1 0 0 0) *
## 75) Mg< 3.37 5 0 WinNF (0 1 0 0 0 0) *
## 19) Ca>=8.325 5 1 Veh (0 0.2 0.8 0 0 0)
## 38) RI>=-0.455 1 0 WinNF (0 1 0 0 0 0) *
## 39) RI< -0.455 4 0 Veh (0 0 1 0 0 0) *
## 5) Ca>=8.43 70 35 WinF (0.5 0.2 0.1 0.13 0.057 0.014)
## 10) Mg>=2.615 49 14 WinF (0.71 0.12 0.14 0 0 0.02)
## 20) RI>=-0.88 44 9 WinF (0.8 0.045 0.14 0 0 0.023)
## 40) K>=0.085 40 6 WinF (0.85 0.05 0.075 0 0 0.025)
## 80) Al< 1.47 35 3 WinF (0.91 0.029 0.029 0 0 0.029)
## 160) RI>=-0.53 34 2 WinF (0.94 0 0.029 0 0 0.029)
## 320) RI< 5.075 33 1 WinF (0.97 0 0.03 0 0 0)
## 640) Ba< 0.075 32 0 WinF (1 0 0 0 0 0) *
## 641) Ba>=0.075 1 0 Veh (0 0 1 0 0 0) *
## 321) RI>=5.075 1 0 Head (0 0 0 0 0 1) *
## 161) RI< -0.53 1 0 WinNF (0 1 0 0 0 0) *
## 81) Al>=1.47 5 3 WinF (0.4 0.2 0.4 0 0 0)
## 162) RI< -0.345 2 0 WinF (1 0 0 0 0 0) *
## 163) RI>=-0.345 3 1 Veh (0 0.33 0.67 0 0 0)
## 326) RI>=0.34 1 0 WinNF (0 1 0 0 0 0) *
## 327) RI< 0.34 2 0 Veh (0 0 1 0 0 0) *
## 41) K< 0.085 4 1 Veh (0.25 0 0.75 0 0 0)
## 82) Al>=1.005 1 0 WinF (1 0 0 0 0 0) *
## 83) Al< 1.005 3 0 Veh (0 0 1 0 0 0) *
## 21) RI< -0.88 5 1 WinNF (0 0.8 0.2 0 0 0)
## 42) Na< 13.115 4 0 WinNF (0 1 0 0 0 0) *
## 43) Na>=13.115 1 0 Veh (0 0 1 0 0 0) *
## 11) Mg< 2.615 21 12 Con (0 0.38 0 0.43 0.19 0)
## 22) Si< 72.205 7 0 WinNF (0 1 0 0 0 0) *
## 23) Si>=72.205 14 5 Con (0 0.071 0 0.64 0.29 0)
## 46) K>=0.065 9 0 Con (0 0 0 1 0 0) *
## 47) K< 0.065 5 1 Tabl (0 0.2 0 0 0.8 0)
## 94) RI>=4.845 1 0 WinNF (0 1 0 0 0 0) *
## 95) RI< 4.845 4 0 Tabl (0 0 0 0 1 0) *
## 3) Ba>=0.34 21 2 Head (0 0.095 0 0 0 0.9)
## 6) RI>=9.45 2 0 WinNF (0 1 0 0 0 0) *
## 7) RI< 9.45 19 0 Head (0 0 0 0 0 1) *
##
## attr(,"class")
## class
## "sclass"
##
## $mtrees[[16]]
## $bindx
## [1] 41 25 73 46 4 8 8 24 132 138 66 118 37 59 5 86 149
## [18] 65 34 128 14 36 107 76 103 15 82 18 73 30 110 147 27 73
## [35] 125 59 40 101 50 12 98 105 51 3 114 28 54 46 96 16 36
## [52] 65 20 132 123 143 14 92 138 46 64 25 135 7 3 100 39 63
## [69] 60 4 41 132 61 40 17 145 70 80 52 25 33 81 66 99 126
## [86] 53 111 7 31 34 20 18 88 145 72 80 134 104 82 17 79 34
## [103] 44 137 87 62 68 36 132 128 37 99 145 5 94 17 118 44 119
## [120] 28 17 1 25 90 21 137 44 54 130 63 15 38 91 11 123 91
## [137] 90 139 92 136 88 33 110 32 141 87 29 11 147 112
##
## $btree
## n= 150
##
## node), split, n, loss, yval, (yprob)
## * denotes terminal node
##
## 1) root 150 91 WinNF (0.28 0.39 0.11 0.047 0.033 0.14)
## 2) Ba< 0.275 129 71 WinNF (0.33 0.45 0.12 0.054 0.039 0.0078)
## 4) Al< 1.42 81 43 WinF (0.47 0.3 0.14 0.037 0.049 0.012)
## 8) Mg>=3.32 64 26 WinF (0.59 0.23 0.17 0 0 0)
## 16) Ca>=8.535 36 10 WinF (0.72 0.028 0.25 0 0 0)
## 32) RI>=3.395 17 1 WinF (0.94 0 0.059 0 0 0)
## 64) Ca>=9.145 16 0 WinF (1 0 0 0 0 0) *
## 65) Ca< 9.145 1 0 Veh (0 0 1 0 0 0) *
## 33) RI< 3.395 19 9 WinF (0.53 0.053 0.42 0 0 0)
## 66) Al>=1.005 11 1 WinF (0.91 0.091 0 0 0 0)
## 132) RI>=-0.91 9 0 WinF (1 0 0 0 0 0) *
## 133) RI< -0.91 2 1 WinF (0.5 0.5 0 0 0 0)
## 266) RI< -1.83 1 0 WinF (1 0 0 0 0 0) *
## 267) RI>=-1.83 1 0 WinNF (0 1 0 0 0 0) *
## 67) Al< 1.005 8 0 Veh (0 0 1 0 0 0) *
## 17) Ca< 8.535 28 14 WinNF (0.43 0.5 0.071 0 0 0)
## 34) RI< -0.005 16 4 WinF (0.75 0.12 0.12 0 0 0)
## 68) Na< 13.355 11 0 WinF (1 0 0 0 0 0) *
## 69) Na>=13.355 5 3 WinNF (0.2 0.4 0.4 0 0 0)
## 138) RI>=-1.885 3 1 WinNF (0.33 0.67 0 0 0 0)
## 276) RI>=-1 1 0 WinF (1 0 0 0 0 0) *
## 277) RI< -1 2 0 WinNF (0 1 0 0 0 0) *
## 139) RI< -1.885 2 0 Veh (0 0 1 0 0 0) *
## 35) RI>=-0.005 12 0 WinNF (0 1 0 0 0 0) *
## 9) Mg< 3.32 17 8 WinNF (0 0.53 0 0.18 0.24 0.059)
## 18) Na< 14.18 13 4 WinNF (0 0.69 0 0.23 0 0.077)
## 36) Al< 1.38 10 1 WinNF (0 0.9 0 0 0 0.1)
## 72) RI>=-1.02 9 0 WinNF (0 1 0 0 0 0) *
## 73) RI< -1.02 1 0 Head (0 0 0 0 0 1) *
## 37) Al>=1.38 3 0 Con (0 0 0 1 0 0) *
## 19) Na>=14.18 4 0 Tabl (0 0 0 0 1 0) *
## 5) Al>=1.42 48 14 WinNF (0.083 0.71 0.1 0.083 0.021 0)
## 10) Ca< 8.325 31 3 WinNF (0.097 0.9 0 0 0 0)
## 20) RI< -2.275 3 1 WinF (0.67 0.33 0 0 0 0)
## 40) RI>=-3.1 2 0 WinF (1 0 0 0 0 0) *
## 41) RI< -3.1 1 0 WinNF (0 1 0 0 0 0) *
## 21) RI>=-2.275 28 1 WinNF (0.036 0.96 0 0 0 0)
## 42) K< 0.415 2 1 WinF (0.5 0.5 0 0 0 0)
## 84) RI>=-2.04 1 0 WinF (1 0 0 0 0 0) *
## 85) RI< -2.04 1 0 WinNF (0 1 0 0 0 0) *
## 43) K>=0.415 26 0 WinNF (0 1 0 0 0 0) *
## 11) Ca>=8.325 17 11 WinNF (0.059 0.35 0.29 0.24 0.059 0)
## 22) Mg>=3.16 6 1 Veh (0.17 0 0.83 0 0 0)
## 44) Na< 13.08 1 0 WinF (1 0 0 0 0 0) *
## 45) Na>=13.08 5 0 Veh (0 0 1 0 0 0) *
## 23) Mg< 3.16 11 5 WinNF (0 0.55 0 0.36 0.091 0)
## 46) Mg>=2.065 5 0 WinNF (0 1 0 0 0 0) *
## 47) Mg< 2.065 6 2 Con (0 0.17 0 0.67 0.17 0)
## 94) RI>=1.015 5 1 Con (0 0.2 0 0.8 0 0)
## 188) RI>=6.22 1 0 WinNF (0 1 0 0 0 0) *
## 189) RI< 6.22 4 0 Con (0 0 0 1 0 0) *
## 95) RI< 1.015 1 0 Tabl (0 0 0 0 1 0) *
## 3) Ba>=0.275 21 1 Head (0 0.048 0 0 0 0.95)
## 6) Na< 12.3 1 0 WinNF (0 1 0 0 0 0) *
## 7) Na>=12.3 20 0 Head (0 0 0 0 0 1) *
##
## attr(,"class")
## class
## "sclass"
##
## $mtrees[[17]]
## $bindx
## [1] 28 138 45 28 48 123 86 83 128 24 116 82 49 109 77 58 54
## [18] 122 14 65 115 53 67 31 90 66 36 131 141 47 127 90 26 117
## [35] 79 65 114 50 62 63 52 66 124 62 103 65 67 30 60 89 107
## [52] 103 137 111 58 80 99 137 50 95 97 130 17 103 140 15 150 45
## [69] 59 75 44 98 61 9 51 141 81 65 128 88 120 78 7 96 11
## [86] 48 91 16 76 144 131 67 105 125 126 11 27 98 45 67 132 114
## [103] 120 71 114 116 103 78 122 8 92 1 115 134 82 110 68 126 88
## [120] 131 25 108 64 134 147 146 7 135 13 21 66 136 132 140 93 112
## [137] 25 141 45 23 58 85 145 136 69 94 66 135 66 61
##
## $btree
## n= 150
##
## node), split, n, loss, yval, (yprob)
## * denotes terminal node
##
## 1) root 150 94 WinNF (0.32 0.37 0.067 0.04 0.04 0.16)
## 2) Ba< 0.27 124 69 WinNF (0.39 0.44 0.081 0.04 0.048 0)
## 4) Al< 1.38 77 31 WinF (0.6 0.3 0.078 0 0.026 0)
## 8) Fe< 0.195 61 18 WinF (0.7 0.2 0.066 0 0.033 0)
## 16) RI< 6.67 57 14 WinF (0.75 0.14 0.07 0 0.035 0)
## 32) RI>=-1.07 52 9 WinF (0.83 0.13 0.019 0 0.019 0)
## 64) Mg< 3.915 49 6 WinF (0.88 0.082 0.02 0 0.02 0)
## 128) Na< 14.46 48 5 WinF (0.9 0.083 0.021 0 0 0)
## 256) Ca>=8.535 33 1 WinF (0.97 0 0.03 0 0 0)
## 512) Si< 72.925 29 0 WinF (1 0 0 0 0 0) *
## 513) Si>=72.925 4 1 WinF (0.75 0 0.25 0 0 0)
## 1026) RI< -0.265 3 0 WinF (1 0 0 0 0 0) *
## 1027) RI>=-0.265 1 0 Veh (0 0 1 0 0 0) *
## 257) Ca< 8.535 15 4 WinF (0.73 0.27 0 0 0 0)
## 514) RI< -0.05 11 0 WinF (1 0 0 0 0 0) *
## 515) RI>=-0.05 4 0 WinNF (0 1 0 0 0 0) *
## 129) Na>=14.46 1 0 Tabl (0 0 0 0 1 0) *
## 65) Mg>=3.915 3 0 WinNF (0 1 0 0 0 0) *
## 33) RI< -1.07 5 2 Veh (0 0.2 0.6 0 0.2 0)
## 66) K>=0.465 3 0 Veh (0 0 1 0 0 0) *
## 67) K< 0.465 2 1 WinNF (0 0.5 0 0 0.5 0)
## 134) RI>=-4.36 1 0 WinNF (0 1 0 0 0 0) *
## 135) RI< -4.36 1 0 Tabl (0 0 0 0 1 0) *
## 17) RI>=6.67 4 0 WinNF (0 1 0 0 0 0) *
## 9) Fe>=0.195 16 5 WinNF (0.19 0.69 0.12 0 0 0)
## 18) Fe>=0.27 7 4 WinF (0.43 0.29 0.29 0 0 0)
## 36) RI< 0.17 3 0 WinF (1 0 0 0 0 0) *
## 37) RI>=0.17 4 2 WinNF (0 0.5 0.5 0 0 0)
## 74) RI< 2.295 2 0 WinNF (0 1 0 0 0 0) *
## 75) RI>=2.295 2 0 Veh (0 0 1 0 0 0) *
## 19) Fe< 0.27 9 0 WinNF (0 1 0 0 0 0) *
## 5) Al>=1.38 47 15 WinNF (0.043 0.68 0.085 0.11 0.085 0)
## 10) Mg>=2.48 36 6 WinNF (0.056 0.83 0.11 0 0 0)
## 20) Si>=72.16 32 3 WinNF (0.062 0.91 0.031 0 0 0)
## 40) K< 0.605 12 3 WinNF (0.17 0.75 0.083 0 0 0)
## 80) Al< 1.66 11 2 WinNF (0.18 0.82 0 0 0 0)
## 160) Ca< 7.905 1 0 WinF (1 0 0 0 0 0) *
## 161) Ca>=7.905 10 1 WinNF (0.1 0.9 0 0 0 0)
## 322) K>=0.585 3 1 WinNF (0.33 0.67 0 0 0 0)
## 644) Al< 1.42 1 0 WinF (1 0 0 0 0 0) *
## 645) Al>=1.42 2 0 WinNF (0 1 0 0 0 0) *
## 323) K< 0.585 7 0 WinNF (0 1 0 0 0 0) *
## 81) Al>=1.66 1 0 Veh (0 0 1 0 0 0) *
## 41) K>=0.605 20 0 WinNF (0 1 0 0 0 0) *
## 21) Si< 72.16 4 1 Veh (0 0.25 0.75 0 0 0)
## 42) RI< -1.25 1 0 WinNF (0 1 0 0 0 0) *
## 43) RI>=-1.25 3 0 Veh (0 0 1 0 0 0) *
## 11) Mg< 2.48 11 6 Con (0 0.18 0 0.45 0.36 0)
## 22) RI>=1.015 7 2 Con (0 0.29 0 0.71 0 0)
## 44) Si< 72.205 2 0 WinNF (0 1 0 0 0 0) *
## 45) Si>=72.205 5 0 Con (0 0 0 1 0 0) *
## 23) RI< 1.015 4 0 Tabl (0 0 0 0 1 0) *
## 3) Ba>=0.27 26 2 Head (0 0.038 0 0.038 0 0.92)
## 6) Si< 70.16 2 1 WinNF (0 0.5 0 0.5 0 0)
## 12) RI>=5.195 1 0 WinNF (0 1 0 0 0 0) *
## 13) RI< 5.195 1 0 Con (0 0 0 1 0 0) *
## 7) Si>=70.16 24 0 Head (0 0 0 0 0 1) *
##
## attr(,"class")
## class
## "sclass"
##
## $mtrees[[18]]
## $bindx
## [1] 148 130 20 85 145 64 132 71 148 125 89 14 29 59 45 95 76
## [18] 104 93 19 71 77 149 71 133 145 92 81 60 118 47 126 144 15
## [35] 49 62 97 40 117 36 74 116 22 87 140 48 42 146 110 72 50
## [52] 88 65 113 6 38 43 139 75 37 12 64 34 12 47 135 141 137
## [69] 143 2 145 128 73 142 110 54 142 133 33 27 122 62 148 95 140
## [86] 75 66 96 87 102 91 87 65 44 92 148 83 84 25 21 95 66
## [103] 123 62 10 73 60 94 41 64 7 12 123 3 102 85 96 34 101
## [120] 79 39 108 107 79 2 42 18 138 141 4 150 94 74 82 88 17
## [137] 96 35 101 56 120 86 74 37 121 62 73 34 36 5
##
## $btree
## n= 150
##
## node), split, n, loss, yval, (yprob)
## * denotes terminal node
##
## 1) root 150 100 WinF (0.33 0.33 0.1 0.04 0.047 0.15)
## 2) Ba< 0.275 127 77 WinF (0.39 0.38 0.12 0.039 0.055 0.016)
## 4) Al< 1.42 83 36 WinF (0.57 0.22 0.12 0.036 0.036 0.024)
## 8) Mg>=3.29 69 23 WinF (0.67 0.17 0.14 0 0 0.014)
## 16) Mg< 3.825 62 16 WinF (0.74 0.097 0.15 0 0 0.016)
## 32) Al>=0.68 53 11 WinF (0.79 0.11 0.075 0 0 0.019)
## 64) Ba< 0.045 49 8 WinF (0.84 0.082 0.061 0 0 0.02)
## 128) RI>=-0.935 41 4 WinF (0.9 0.073 0 0 0 0.024)
## 256) Mg>=3.355 39 3 WinF (0.92 0.077 0 0 0 0)
## 512) K< 0.63 37 2 WinF (0.95 0.054 0 0 0 0)
## 1024) Ca>=8.535 24 0 WinF (1 0 0 0 0 0) *
## 1025) Ca< 8.535 13 2 WinF (0.85 0.15 0 0 0 0)
## 2050) RI< 0.185 11 0 WinF (1 0 0 0 0 0) *
## 2051) RI>=0.185 2 0 WinNF (0 1 0 0 0 0) *
## 513) K>=0.63 2 1 WinF (0.5 0.5 0 0 0 0)
## 1026) RI< 0.17 1 0 WinF (1 0 0 0 0 0) *
## 1027) RI>=0.17 1 0 WinNF (0 1 0 0 0 0) *
## 257) Mg< 3.355 2 1 WinF (0.5 0 0 0 0 0.5)
## 514) RI< 3.205 1 0 WinF (1 0 0 0 0 0) *
## 515) RI>=3.205 1 0 Head (0 0 0 0 0 1) *
## 129) RI< -0.935 8 4 WinF (0.5 0.12 0.38 0 0 0)
## 258) RI< -2.005 4 0 WinF (1 0 0 0 0 0) *
## 259) RI>=-2.005 4 1 Veh (0 0.25 0.75 0 0 0)
## 518) Si>=72.755 1 0 WinNF (0 1 0 0 0 0) *
## 519) Si< 72.755 3 0 Veh (0 0 1 0 0 0) *
## 65) Ba>=0.045 4 2 WinNF (0.25 0.5 0.25 0 0 0)
## 130) Mg< 3.585 2 1 WinF (0.5 0 0.5 0 0 0)
## 260) RI< 1.215 1 0 WinF (1 0 0 0 0 0) *
## 261) RI>=1.215 1 0 Veh (0 0 1 0 0 0) *
## 131) Mg>=3.585 2 0 WinNF (0 1 0 0 0 0) *
## 33) Al< 0.68 9 4 Veh (0.44 0 0.56 0 0 0)
## 66) RI>=3.67 4 0 WinF (1 0 0 0 0 0) *
## 67) RI< 3.67 5 0 Veh (0 0 1 0 0 0) *
## 17) Mg>=3.825 7 1 WinNF (0 0.86 0.14 0 0 0)
## 34) RI< 2.095 6 0 WinNF (0 1 0 0 0 0) *
## 35) RI>=2.095 1 0 Veh (0 0 1 0 0 0) *
## 9) Mg< 3.29 14 8 WinNF (0.071 0.43 0 0.21 0.21 0.071)
## 18) Na< 14.18 11 5 WinNF (0.091 0.55 0 0.27 0 0.091)
## 36) Al< 1.175 6 0 WinNF (0 1 0 0 0 0) *
## 37) Al>=1.175 5 2 Con (0.2 0 0 0.6 0 0.2)
## 74) RI< 1.255 2 1 WinF (0.5 0 0 0 0 0.5)
## 148) RI>=-0.695 1 0 WinF (1 0 0 0 0 0) *
## 149) RI< -0.695 1 0 Head (0 0 0 0 0 1) *
## 75) RI>=1.255 3 0 Con (0 0 0 1 0 0) *
## 19) Na>=14.18 3 0 Tabl (0 0 0 0 1 0) *
## 5) Al>=1.42 44 14 WinNF (0.068 0.68 0.11 0.045 0.091 0)
## 10) RI< -0.77 30 3 WinNF (0.067 0.9 0.033 0 0 0)
## 20) Fe< 0.13 25 1 WinNF (0.04 0.96 0 0 0 0)
## 40) Ca< 7.835 3 1 WinNF (0.33 0.67 0 0 0 0)
## 80) Na< 13.89 1 0 WinF (1 0 0 0 0 0) *
## 81) Na>=13.89 2 0 WinNF (0 1 0 0 0 0) *
## 41) Ca>=7.835 22 0 WinNF (0 1 0 0 0 0) *
## 21) Fe>=0.13 5 2 WinNF (0.2 0.6 0.2 0 0 0)
## 42) RI< -1.36 4 1 WinNF (0.25 0.75 0 0 0 0)
## 84) RI< -1.87 1 0 WinF (1 0 0 0 0 0) *
## 85) RI>=-1.87 3 0 WinNF (0 1 0 0 0 0) *
## 43) RI>=-1.36 1 0 Veh (0 0 1 0 0 0) *
## 11) RI>=-0.77 14 10 Veh (0.071 0.21 0.29 0.14 0.29 0)
## 22) Na< 13.935 10 6 Veh (0.1 0.3 0.4 0.2 0 0)
## 44) Mg>=2.81 5 1 Veh (0.2 0 0.8 0 0 0)
## 88) Mg>=3.475 1 0 WinF (1 0 0 0 0 0) *
## 89) Mg< 3.475 4 0 Veh (0 0 1 0 0 0) *
## 45) Mg< 2.81 5 2 WinNF (0 0.6 0 0.4 0 0)
## 90) Si< 72.205 3 0 WinNF (0 1 0 0 0 0) *
## 91) Si>=72.205 2 0 Con (0 0 0 1 0 0) *
## 23) Na>=13.935 4 0 Tabl (0 0 0 0 1 0) *
## 3) Ba>=0.275 23 3 Head (0 0.087 0 0.043 0 0.87)
## 6) Si< 70.16 3 1 WinNF (0 0.67 0 0.33 0 0)
## 12) RI>=5.195 2 0 WinNF (0 1 0 0 0 0) *
## 13) RI< 5.195 1 0 Con (0 0 0 1 0 0) *
## 7) Si>=70.16 20 0 Head (0 0 0 0 0 1) *
##
## attr(,"class")
## class
## "sclass"
##
## $mtrees[[19]]
## $bindx
## [1] 43 36 72 76 98 50 38 102 52 129 95 36 25 149 113 64 79
## [18] 88 136 138 126 128 62 92 106 42 83 24 57 67 74 110 105 130
## [35] 103 138 135 5 106 72 54 25 9 114 81 139 57 9 21 23 29
## [52] 145 44 87 128 12 24 102 87 126 79 110 111 128 90 70 67 54
## [69] 99 132 19 128 136 114 22 120 24 85 133 63 93 142 108 93 71
## [86] 93 126 111 135 50 41 47 47 67 39 17 43 128 57 111 44 12
## [103] 87 100 132 131 145 97 123 48 31 45 103 73 125 56 146 94 23
## [120] 129 89 16 15 22 67 72 25 132 82 83 79 43 23 80 20 37
## [137] 22 23 114 75 134 32 43 113 65 73 140 9 23 55
##
## $btree
## n= 150
##
## node), split, n, loss, yval, (yprob)
## * denotes terminal node
##
## 1) root 150 96 WinNF (0.33 0.36 0.067 0.053 0.053 0.13)
## 2) Ba< 0.275 126 73 WinNF (0.4 0.42 0.079 0.04 0.063 0)
## 4) Al< 1.355 78 29 WinF (0.63 0.24 0.077 0 0.051 0)
## 8) Ca>=8.535 53 12 WinF (0.77 0.094 0.094 0 0.038 0)
## 16) K>=0.01 48 7 WinF (0.85 0.062 0.083 0 0 0)
## 32) Fe< 0.195 44 4 WinF (0.91 0.023 0.068 0 0 0)
## 64) Al>=0.68 36 1 WinF (0.97 0.028 0 0 0 0)
## 128) RI>=-0.93 33 0 WinF (1 0 0 0 0 0) *
## 129) RI< -0.93 3 1 WinF (0.67 0.33 0 0 0 0)
## 258) RI< -1.83 2 0 WinF (1 0 0 0 0 0) *
## 259) RI>=-1.83 1 0 WinNF (0 1 0 0 0 0) *
## 65) Al< 0.68 8 3 WinF (0.62 0 0.37 0 0 0)
## 130) RI>=3.67 5 0 WinF (1 0 0 0 0 0) *
## 131) RI< 3.67 3 0 Veh (0 0 1 0 0 0) *
## 33) Fe>=0.195 4 2 WinNF (0.25 0.5 0.25 0 0 0)
## 66) Ca>=8.895 2 0 WinNF (0 1 0 0 0 0) *
## 67) Ca< 8.895 2 1 WinF (0.5 0 0.5 0 0 0)
## 134) RI< 0.6 1 0 WinF (1 0 0 0 0 0) *
## 135) RI>=0.6 1 0 Veh (0 0 1 0 0 0) *
## 17) K< 0.01 5 3 WinNF (0 0.4 0.2 0 0.4 0)
## 34) Na< 14.44 3 1 WinNF (0 0.67 0.33 0 0 0)
## 68) Si>=72.29 2 0 WinNF (0 1 0 0 0 0) *
## 69) Si< 72.29 1 0 Veh (0 0 1 0 0 0) *
## 35) Na>=14.44 2 0 Tabl (0 0 0 0 1 0) *
## 9) Ca< 8.535 25 11 WinNF (0.32 0.56 0.04 0 0.08 0)
## 18) RI< -0.115 12 4 WinF (0.67 0.083 0.083 0 0.17 0)
## 36) RI>=-1.055 8 0 WinF (1 0 0 0 0 0) *
## 37) RI< -1.055 4 2 Tabl (0 0.25 0.25 0 0.5 0)
## 74) Na< 15.4 2 1 WinNF (0 0.5 0.5 0 0 0)
## 148) RI>=-1.72 1 0 WinNF (0 1 0 0 0 0) *
## 149) RI< -1.72 1 0 Veh (0 0 1 0 0 0) *
## 75) Na>=15.4 2 0 Tabl (0 0 0 0 1 0) *
## 19) RI>=-0.115 13 0 WinNF (0 1 0 0 0 0) *
## 5) Al>=1.355 48 14 WinNF (0.021 0.71 0.083 0.1 0.083 0)
## 10) Na< 13.99 44 10 WinNF (0.023 0.77 0.091 0.11 0 0)
## 20) K>=0.36 40 7 WinNF (0.025 0.82 0.1 0.05 0 0)
## 40) Na>=11.24 39 6 WinNF (0.026 0.85 0.1 0.026 0 0)
## 80) Si>=72.165 32 3 WinNF (0.031 0.91 0.031 0.031 0 0)
## 160) Al< 1.66 24 0 WinNF (0 1 0 0 0 0) *
## 161) Al>=1.66 8 3 WinNF (0.12 0.62 0.12 0.13 0 0)
## 322) K>=0.63 5 0 WinNF (0 1 0 0 0 0) *
## 323) K< 0.63 3 2 WinF (0.33 0 0.33 0.33 0 0)
## 646) Al< 1.725 1 0 WinF (1 0 0 0 0 0) *
## 647) Al>=1.725 2 1 Veh (0 0 0.5 0.5 0 0)
## 1294) RI< -0.1 1 0 Veh (0 0 1 0 0 0) *
## 1295) RI>=-0.1 1 0 Con (0 0 0 1 0 0) *
## 81) Si< 72.165 7 3 WinNF (0 0.57 0.43 0 0 0)
## 162) RI>=1.26 4 0 WinNF (0 1 0 0 0 0) *
## 163) RI< 1.26 3 0 Veh (0 0 1 0 0 0) *
## 41) Na< 11.24 1 0 Con (0 0 0 1 0 0) *
## 21) K< 0.36 4 1 Con (0 0.25 0 0.75 0 0)
## 42) RI>=6.915 1 0 WinNF (0 1 0 0 0 0) *
## 43) RI< 6.915 3 0 Con (0 0 0 1 0 0) *
## 11) Na>=13.99 4 0 Tabl (0 0 0 0 1 0) *
## 3) Ba>=0.275 24 4 Head (0 0.042 0 0.12 0 0.83)
## 6) Si< 70.16 4 1 Con (0 0.25 0 0.75 0 0)
## 12) RI>=5.195 1 0 WinNF (0 1 0 0 0 0) *
## 13) RI< 5.195 3 0 Con (0 0 0 1 0 0) *
## 7) Si>=70.16 20 0 Head (0 0 0 0 0 1) *
##
## attr(,"class")
## class
## "sclass"
##
## $mtrees[[20]]
## $bindx
## [1] 45 98 38 33 92 111 53 119 6 17 9 135 14 123 52 16 35
## [18] 92 135 54 134 46 116 124 121 80 80 38 71 65 5 88 77 14
## [35] 53 8 27 146 118 20 68 42 71 79 97 102 4 134 48 58 102
## [52] 26 134 69 150 15 121 97 5 39 57 102 5 128 28 6 50 107
## [69] 75 107 21 41 25 126 81 76 149 95 48 74 27 76 87 29 66
## [86] 140 80 79 133 41 4 4 133 51 57 82 21 112 139 50 78 55
## [103] 135 142 2 91 24 135 149 75 64 150 127 113 127 2 53 39 108
## [120] 128 141 6 55 56 106 111 90 79 31 28 79 112 59 6 36 118
## [137] 37 37 116 67 24 52 145 63 89 103 34 4 150 92
##
## $btree
## n= 150
##
## node), split, n, loss, yval, (yprob)
## * denotes terminal node
##
## 1) root 150 91 WinNF (0.29 0.39 0.06 0.033 0.027 0.2)
## 2) Ba< 0.275 124 65 WinNF (0.35 0.48 0.073 0.04 0.032 0.032)
## 4) RI< -0.675 34 6 WinNF (0.12 0.82 0.059 0 0 0)
## 8) RI< -2.275 3 1 WinF (0.67 0.33 0 0 0 0)
## 16) Na< 13.485 2 0 WinF (1 0 0 0 0 0) *
## 17) Na>=13.485 1 0 WinNF (0 1 0 0 0 0) *
## 9) RI>=-2.275 31 4 WinNF (0.065 0.87 0.065 0 0 0)
## 18) Al>=1.225 30 3 WinNF (0.067 0.9 0.033 0 0 0)
## 36) Ca< 7.805 5 2 WinNF (0.4 0.6 0 0 0 0)
## 72) Na< 14.195 2 0 WinF (1 0 0 0 0 0) *
## 73) Na>=14.195 3 0 WinNF (0 1 0 0 0 0) *
## 37) Ca>=7.805 25 1 WinNF (0 0.96 0.04 0 0 0)
## 74) Ca< 8.355 21 0 WinNF (0 1 0 0 0 0) *
## 75) Ca>=8.355 4 1 WinNF (0 0.75 0.25 0 0 0)
## 150) Si>=72.785 3 0 WinNF (0 1 0 0 0 0) *
## 151) Si< 72.785 1 0 Veh (0 0 1 0 0 0) *
## 19) Al< 1.225 1 0 Veh (0 0 1 0 0 0) *
## 5) RI>=-0.675 90 51 WinF (0.43 0.34 0.078 0.056 0.044 0.044)
## 10) RI< -0.08 25 3 WinF (0.88 0.04 0.08 0 0 0)
## 20) Ca< 8.74 22 0 WinF (1 0 0 0 0 0) *
## 21) Ca>=8.74 3 1 Veh (0 0.33 0.67 0 0 0)
## 42) RI< -0.405 1 0 WinNF (0 1 0 0 0 0) *
## 43) RI>=-0.405 2 0 Veh (0 0 1 0 0 0) *
## 11) RI>=-0.08 65 35 WinNF (0.26 0.46 0.077 0.077 0.062 0.062)
## 22) Ca< 8.65 14 0 WinNF (0 1 0 0 0 0) *
## 23) Ca>=8.65 51 34 WinF (0.33 0.31 0.098 0.098 0.078 0.078)
## 46) Mg>=3.24 26 10 WinF (0.62 0.038 0.19 0 0 0.15)
## 92) Si< 72.37 21 5 WinF (0.76 0.048 0.19 0 0 0)
## 184) RI>=0.695 17 1 WinF (0.94 0 0.059 0 0 0)
## 368) K>=0.01 16 0 WinF (1 0 0 0 0 0) *
## 369) K< 0.01 1 0 Veh (0 0 1 0 0 0) *
## 185) RI< 0.695 4 1 Veh (0 0.25 0.75 0 0 0)
## 370) Na< 13.13 1 0 WinNF (0 1 0 0 0 0) *
## 371) Na>=13.13 3 0 Veh (0 0 1 0 0 0) *
## 93) Si>=72.37 5 1 Head (0 0 0.2 0 0 0.8)
## 186) Na>=13.54 1 0 Veh (0 0 1 0 0 0) *
## 187) Na< 13.54 4 0 Head (0 0 0 0 0 1) *
## 47) Mg< 3.24 25 10 WinNF (0.04 0.6 0 0.2 0.16 0)
## 94) Si< 72.205 13 0 WinNF (0 1 0 0 0 0) *
## 95) Si>=72.205 12 7 Con (0.083 0.17 0 0.42 0.33 0)
## 190) Na< 13.765 8 3 Con (0.13 0.25 0 0.62 0 0)
## 380) Al< 1.47 4 2 WinNF (0.25 0.5 0 0.25 0 0)
## 760) Si>=72.885 2 0 WinNF (0 1 0 0 0 0) *
## 761) Si< 72.885 2 1 WinF (0.5 0 0 0.5 0 0)
## 1522) RI< 1.4 1 0 WinF (1 0 0 0 0 0) *
## 1523) RI>=1.4 1 0 Con (0 0 0 1 0 0) *
## 381) Al>=1.47 4 0 Con (0 0 0 1 0 0) *
## 191) Na>=13.765 4 0 Tabl (0 0 0 0 1 0) *
## 3) Ba>=0.275 26 0 Head (0 0 0 0 0 1) *
##
## attr(,"class")
## class
## "sclass"
##
## $mtrees[[21]]
## $bindx
## [1] 61 3 123 70 84 30 105 144 70 102 77 28 31 17 60 63 71
## [18] 142 115 83 11 49 68 145 44 117 150 118 94 64 15 137 30 79
## [35] 47 46 54 106 104 111 94 100 129 7 127 64 54 116 128 112 110
## [52] 3 38 35 87 39 78 1 30 41 116 60 63 115 104 26 127 79
## [69] 80 20 15 76 70 80 73 63 5 57 87 100 143 68 38 106 46
## [86] 33 50 136 90 137 89 62 103 59 115 85 81 20 131 132 98 129
## [103] 89 98 84 45 15 18 113 107 41 25 47 94 72 101 13 122 27
## [120] 35 85 140 20 124 107 149 48 19 53 91 113 70 123 105 21 81
## [137] 24 29 72 144 59 82 138 13 39 72 138 138 20 113
##
## $btree
## n= 150
##
## node), split, n, loss, yval, (yprob)
## * denotes terminal node
##
## 1) root 150 99 WinNF (0.29 0.34 0.11 0.04 0.06 0.16)
## 2) Ba< 0.34 124 76 WinNF (0.35 0.39 0.13 0.048 0.073 0.0081)
## 4) Al< 1.39 79 39 WinF (0.51 0.24 0.19 0 0.051 0.013)
## 8) RI< 6.92 73 33 WinF (0.55 0.18 0.21 0 0.055 0.014)
## 16) RI>=-0.935 58 19 WinF (0.67 0.12 0.16 0 0.052 0)
## 32) K>=0.075 46 10 WinF (0.78 0.15 0.065 0 0 0)
## 64) Mg< 3.64 25 1 WinF (0.96 0 0.04 0 0 0)
## 128) Al>=0.785 24 0 WinF (1 0 0 0 0 0) *
## 129) Al< 0.785 1 0 Veh (0 0 1 0 0 0) *
## 65) Mg>=3.64 21 9 WinF (0.57 0.33 0.095 0 0 0)
## 130) Al< 0.9 9 1 WinF (0.89 0 0.11 0 0 0)
## 260) RI>=3.465 8 0 WinF (1 0 0 0 0 0) *
## 261) RI< 3.465 1 0 Veh (0 0 1 0 0 0) *
## 131) Al>=0.9 12 5 WinNF (0.33 0.58 0.083 0 0 0)
## 262) RI< 0.035 4 0 WinF (1 0 0 0 0 0) *
## 263) RI>=0.035 8 1 WinNF (0 0.88 0.12 0 0 0)
## 526) Al>=1.01 7 0 WinNF (0 1 0 0 0 0) *
## 527) Al< 1.01 1 0 Veh (0 0 1 0 0 0) *
## 33) K< 0.075 12 6 Veh (0.25 0 0.5 0 0.25 0)
## 66) Na< 14.44 9 3 Veh (0.33 0 0.67 0 0 0)
## 132) Si< 71.425 2 0 WinF (1 0 0 0 0 0) *
## 133) Si>=71.425 7 1 Veh (0.14 0 0.86 0 0 0)
## 266) Ca< 8.91 1 0 WinF (1 0 0 0 0 0) *
## 267) Ca>=8.91 6 0 Veh (0 0 1 0 0 0) *
## 67) Na>=14.44 3 0 Tabl (0 0 0 0 1 0) *
## 17) RI< -0.935 15 9 WinNF (0.067 0.4 0.4 0 0.067 0.067)
## 34) Si>=72.725 9 3 WinNF (0.11 0.67 0 0 0.11 0.11)
## 68) Al>=1.21 6 0 WinNF (0 1 0 0 0 0) *
## 69) Al< 1.21 3 2 WinF (0.33 0 0 0 0.33 0.33)
## 138) RI>=-6.35 2 1 WinF (0.5 0 0 0 0 0.5)
## 276) RI< -3.66 1 0 WinF (1 0 0 0 0 0) *
## 277) RI>=-3.66 1 0 Head (0 0 0 0 0 1) *
## 139) RI< -6.35 1 0 Tabl (0 0 0 0 1 0) *
## 35) Si< 72.725 6 0 Veh (0 0 1 0 0 0) *
## 9) RI>=6.92 6 0 WinNF (0 1 0 0 0 0) *
## 5) Al>=1.39 45 16 WinNF (0.089 0.64 0.022 0.13 0.11 0)
## 10) K>=0.065 40 11 WinNF (0.1 0.72 0.025 0.15 0 0)
## 20) Mg>=2.065 32 5 WinNF (0.12 0.84 0.031 0 0 0)
## 40) Al>=1.53 18 5 WinNF (0.22 0.72 0.056 0 0 0)
## 80) K< 0.595 7 4 WinF (0.43 0.43 0.14 0 0 0)
## 160) Na< 13.62 4 1 WinF (0.75 0 0.25 0 0 0)
## 320) RI< -0.165 3 0 WinF (1 0 0 0 0 0) *
## 321) RI>=-0.165 1 0 Veh (0 0 1 0 0 0) *
## 161) Na>=13.62 3 0 WinNF (0 1 0 0 0 0) *
## 81) K>=0.595 11 1 WinNF (0.091 0.91 0 0 0 0)
## 162) RI< -2.165 1 0 WinF (1 0 0 0 0 0) *
## 163) RI>=-2.165 10 0 WinNF (0 1 0 0 0 0) *
## 41) Al< 1.53 14 0 WinNF (0 1 0 0 0 0) *
## 21) Mg< 2.065 8 2 Con (0 0.25 0 0.75 0 0)
## 42) RI>=6.22 2 0 WinNF (0 1 0 0 0 0) *
## 43) RI< 6.22 6 0 Con (0 0 0 1 0 0) *
## 11) K< 0.065 5 0 Tabl (0 0 0 0 1 0) *
## 3) Ba>=0.34 26 3 Head (0 0.12 0 0 0 0.88)
## 6) Na< 12.3 3 0 WinNF (0 1 0 0 0 0) *
## 7) Na>=12.3 23 0 Head (0 0 0 0 0 1) *
##
## attr(,"class")
## class
## "sclass"
##
## $mtrees[[22]]
## $bindx
## [1] 26 134 35 148 105 45 92 11 19 96 103 72 118 12 106 5 11
## [18] 70 56 150 38 66 24 81 79 133 125 140 29 23 23 14 100 89
## [35] 3 11 1 125 103 129 132 26 41 28 55 32 3 25 18 110 65
## [52] 35 115 51 9 134 1 97 72 85 117 77 146 144 91 86 58 2
## [69] 20 42 84 88 115 32 79 56 84 111 14 76 142 117 147 128 15
## [86] 89 10 107 3 1 47 68 107 145 114 39 86 89 141 44 7 107
## [103] 114 76 61 62 78 127 98 12 79 44 146 120 123 77 135 54 64
## [120] 132 127 97 19 45 87 111 121 82 91 23 56 85 130 64 109 42
## [137] 19 142 26 148 135 55 2 130 94 78 41 97 48 12
##
## $btree
## n= 150
##
## node), split, n, loss, yval, (yprob)
## * denotes terminal node
##
## 1) root 150 95 WinNF (0.31 0.37 0.093 0.033 0.033 0.16)
## 2) Ba< 0.34 125 71 WinNF (0.38 0.43 0.11 0.04 0.04 0)
## 4) Al< 1.42 77 32 WinF (0.58 0.26 0.13 0.013 0.013 0)
## 8) RI< 0.03 45 11 WinF (0.76 0.067 0.16 0 0.022 0)
## 16) Na< 13.315 38 5 WinF (0.87 0.053 0.079 0 0 0)
## 32) Na>=12.405 36 3 WinF (0.92 0.028 0.056 0 0 0)
## 64) Al< 1.365 31 1 WinF (0.97 0.032 0 0 0 0)
## 128) Mg< 3.605 26 0 WinF (1 0 0 0 0 0) *
## 129) Mg>=3.605 5 1 WinF (0.8 0.2 0 0 0 0)
## 258) RI>=-0.885 4 0 WinF (1 0 0 0 0 0) *
## 259) RI< -0.885 1 0 WinNF (0 1 0 0 0 0) *
## 65) Al>=1.365 5 2 WinF (0.6 0 0.4 0 0 0)
## 130) Na< 13.225 3 0 WinF (1 0 0 0 0 0) *
## 131) Na>=13.225 2 0 Veh (0 0 1 0 0 0) *
## 33) Na< 12.405 2 1 WinNF (0 0.5 0.5 0 0 0)
## 66) RI>=-1.07 1 0 WinNF (0 1 0 0 0 0) *
## 67) RI< -1.07 1 0 Veh (0 0 1 0 0 0) *
## 17) Na>=13.315 7 3 Veh (0.14 0.14 0.57 0 0.14 0)
## 34) Ca< 8.175 3 2 WinF (0.33 0.33 0 0 0.33 0)
## 68) RI>=-4.36 2 1 WinF (0.5 0.5 0 0 0 0)
## 136) RI>=-1.165 1 0 WinF (1 0 0 0 0 0) *
## 137) RI< -1.165 1 0 WinNF (0 1 0 0 0 0) *
## 69) RI< -4.36 1 0 Tabl (0 0 0 0 1 0) *
## 35) Ca>=8.175 4 0 Veh (0 0 1 0 0 0) *
## 9) RI>=0.03 32 15 WinNF (0.34 0.53 0.094 0.031 0 0)
## 18) Na>=13.725 7 2 WinF (0.71 0 0.29 0 0 0)
## 36) Si>=71.63 5 0 WinF (1 0 0 0 0 0) *
## 37) Si< 71.63 2 0 Veh (0 0 1 0 0 0) *
## 19) Na< 13.725 25 8 WinNF (0.24 0.68 0.04 0.04 0 0)
## 38) Mg< 3.73 17 8 WinNF (0.35 0.53 0.059 0.059 0 0)
## 76) Mg>=1.42 9 3 WinF (0.67 0.22 0.11 0 0 0)
## 152) Ca>=8.64 7 1 WinF (0.86 0 0.14 0 0 0)
## 304) Ba< 0.075 6 0 WinF (1 0 0 0 0 0) *
## 305) Ba>=0.075 1 0 Veh (0 0 1 0 0 0) *
## 153) Ca< 8.64 2 0 WinNF (0 1 0 0 0 0) *
## 77) Mg< 1.42 8 1 WinNF (0 0.88 0 0.12 0 0)
## 154) Al< 1.38 7 0 WinNF (0 1 0 0 0 0) *
## 155) Al>=1.38 1 0 Con (0 0 0 1 0 0) *
## 39) Mg>=3.73 8 0 WinNF (0 1 0 0 0 0) *
## 5) Al>=1.42 48 14 WinNF (0.042 0.71 0.083 0.083 0.083 0)
## 10) K>=0.35 41 7 WinNF (0.049 0.83 0.098 0.024 0 0)
## 20) K>=0.605 28 1 WinNF (0.036 0.96 0 0 0 0)
## 40) RI< -2.195 2 1 WinF (0.5 0.5 0 0 0 0)
## 80) RI>=-3.1 1 0 WinF (1 0 0 0 0 0) *
## 81) RI< -3.1 1 0 WinNF (0 1 0 0 0 0) *
## 41) RI>=-2.195 26 0 WinNF (0 1 0 0 0 0) *
## 21) K< 0.605 13 6 WinNF (0.077 0.54 0.31 0.077 0 0)
## 42) Al< 1.66 9 2 WinNF (0 0.78 0.22 0 0 0)
## 84) RI>=0.34 5 0 WinNF (0 1 0 0 0 0) *
## 85) RI< 0.34 4 2 WinNF (0 0.5 0.5 0 0 0)
## 170) RI< -1.095 2 0 WinNF (0 1 0 0 0 0) *
## 171) RI>=-1.095 2 0 Veh (0 0 1 0 0 0) *
## 43) Al>=1.66 4 2 Veh (0.25 0 0.5 0.25 0 0)
## 86) RI>=-1 2 1 WinF (0.5 0 0 0.5 0 0)
## 172) RI< 0.25 1 0 WinF (1 0 0 0 0 0) *
## 173) RI>=0.25 1 0 Con (0 0 0 1 0 0) *
## 87) RI< -1 2 0 Veh (0 0 1 0 0 0) *
## 11) K< 0.35 7 3 Tabl (0 0 0 0.43 0.57 0)
## 22) RI>=2.12 3 0 Con (0 0 0 1 0 0) *
## 23) RI< 2.12 4 0 Tabl (0 0 0 0 1 0) *
## 3) Ba>=0.34 25 1 Head (0 0.04 0 0 0 0.96)
## 6) RI>=9.45 1 0 WinNF (0 1 0 0 0 0) *
## 7) RI< 9.45 24 0 Head (0 0 0 0 0 1) *
##
## attr(,"class")
## class
## "sclass"
##
## $mtrees[[23]]
## $bindx
## [1] 5 28 88 47 3 36 62 119 95 25 79 84 145 37 93 117 22
## [18] 76 29 8 61 14 48 137 77 138 114 61 133 123 63 51 136 144
## [35] 66 3 79 44 61 63 48 87 80 60 57 137 50 19 145 95 79
## [52] 56 105 95 61 39 94 103 81 103 137 138 2 140 106 102 132 89
## [69] 117 30 145 3 134 119 139 1 141 80 143 106 92 10 99 126 104
## [86] 138 107 90 90 88 107 145 51 89 96 45 33 75 14 118 114 77
## [103] 149 72 14 110 32 142 73 118 21 69 76 8 134 17 35 23 52
## [120] 37 7 76 57 92 28 69 144 73 3 128 8 50 112 139 47 103
## [137] 87 92 29 42 124 97 148 20 105 67 125 18 81 38
##
## $btree
## n= 150
##
## node), split, n, loss, yval, (yprob)
## * denotes terminal node
##
## 1) root 150 89 WinNF (0.24 0.41 0.11 0.06 0.053 0.13)
## 2) Ba< 0.275 129 69 WinNF (0.28 0.47 0.12 0.062 0.062 0.0078)
## 4) Al< 1.35 71 39 WinF (0.45 0.31 0.17 0 0.056 0.014)
## 8) Na< 14.46 67 35 WinF (0.48 0.33 0.18 0 0 0.015)
## 16) Na< 13.975 56 28 WinF (0.5 0.39 0.089 0 0 0.018)
## 32) RI< -0.005 25 8 WinF (0.68 0.16 0.12 0 0 0.04)
## 64) RI>=-0.985 17 1 WinF (0.94 0 0.059 0 0 0)
## 128) Al>=0.85 16 0 WinF (1 0 0 0 0 0) *
## 129) Al< 0.85 1 0 Veh (0 0 1 0 0 0) *
## 65) RI< -0.985 8 4 WinNF (0.12 0.5 0.25 0 0 0.12)
## 130) RI< -1.885 3 1 Veh (0.33 0 0.67 0 0 0)
## 260) RI< -3.875 1 0 WinF (1 0 0 0 0 0) *
## 261) RI>=-3.875 2 0 Veh (0 0 1 0 0 0) *
## 131) RI>=-1.885 5 1 WinNF (0 0.8 0 0 0 0.2)
## 262) Na>=12.47 4 0 WinNF (0 1 0 0 0 0) *
## 263) Na< 12.47 1 0 Head (0 0 0 0 0 1) *
## 33) RI>=-0.005 31 13 WinNF (0.35 0.58 0.065 0 0 0)
## 66) Si< 72.36 14 3 WinF (0.79 0.21 0 0 0 0)
## 132) RI>=0.73 11 0 WinF (1 0 0 0 0 0) *
## 133) RI< 0.73 3 0 WinNF (0 1 0 0 0 0) *
## 67) Si>=72.36 17 2 WinNF (0 0.88 0.12 0 0 0)
## 134) Ba< 0.12 15 0 WinNF (0 1 0 0 0 0) *
## 135) Ba>=0.12 2 0 Veh (0 0 1 0 0 0) *
## 17) Na>=13.975 11 4 Veh (0.36 0 0.64 0 0 0)
## 34) Mg>=3.795 5 1 WinF (0.8 0 0.2 0 0 0)
## 68) Mg< 3.875 4 0 WinF (1 0 0 0 0 0) *
## 69) Mg>=3.875 1 0 Veh (0 0 1 0 0 0) *
## 35) Mg< 3.795 6 0 Veh (0 0 1 0 0 0) *
## 9) Na>=14.46 4 0 Tabl (0 0 0 0 1 0) *
## 5) Al>=1.35 58 20 WinNF (0.069 0.66 0.069 0.14 0.069 0)
## 10) K>=0.095 54 16 WinNF (0.074 0.7 0.074 0.15 0 0)
## 20) Ca< 9.97 39 8 WinNF (0.1 0.79 0.1 0 0 0)
## 40) Si>=72.21 35 5 WinNF (0.11 0.86 0.029 0 0 0)
## 80) Fe>=0.23 5 2 WinF (0.6 0.4 0 0 0 0)
## 160) RI< -1.745 3 0 WinF (1 0 0 0 0 0) *
## 161) RI>=-1.745 2 0 WinNF (0 1 0 0 0 0) *
## 81) Fe< 0.23 30 2 WinNF (0.033 0.93 0.033 0 0 0)
## 162) Al>=1.395 29 1 WinNF (0.034 0.97 0 0 0 0)
## 324) RI>=-0.875 3 1 WinNF (0.33 0.67 0 0 0 0)
## 648) RI< -0.18 1 0 WinF (1 0 0 0 0 0) *
## 649) RI>=-0.18 2 0 WinNF (0 1 0 0 0 0) *
## 325) RI< -0.875 26 0 WinNF (0 1 0 0 0 0) *
## 163) Al< 1.395 1 0 Veh (0 0 1 0 0 0) *
## 41) Si< 72.21 4 1 Veh (0 0.25 0.75 0 0 0)
## 82) Mg< 2.81 1 0 WinNF (0 1 0 0 0 0) *
## 83) Mg>=2.81 3 0 Veh (0 0 1 0 0 0) *
## 21) Ca>=9.97 15 7 Con (0 0.47 0 0.53 0 0)
## 42) Si< 72.22 7 0 WinNF (0 1 0 0 0 0) *
## 43) Si>=72.22 8 0 Con (0 0 0 1 0 0) *
## 11) K< 0.095 4 0 Tabl (0 0 0 0 1 0) *
## 3) Ba>=0.275 21 2 Head (0 0.048 0 0.048 0 0.9)
## 6) Ba>=1.955 2 1 WinNF (0 0.5 0 0.5 0 0)
## 12) RI>=5.195 1 0 WinNF (0 1 0 0 0 0) *
## 13) RI< 5.195 1 0 Con (0 0 0 1 0 0) *
## 7) Ba< 1.955 19 0 Head (0 0 0 0 0 1) *
##
## attr(,"class")
## class
## "sclass"
##
## $mtrees[[24]]
## $bindx
## [1] 33 7 103 31 140 44 130 104 9 47 138 55 120 127 106 81 118
## [18] 16 71 100 115 69 104 3 128 66 9 33 119 38 139 79 95 93
## [35] 33 107 18 3 94 27 15 96 19 27 92 11 7 118 31 121 109
## [52] 21 82 9 66 27 101 91 122 84 122 39 1 6 137 91 11 61
## [69] 6 100 6 10 139 67 143 90 42 11 65 98 133 47 81 107 47
## [86] 120 107 127 121 42 87 32 65 143 55 30 117 56 84 8 145 112
## [103] 144 130 89 39 103 86 44 43 140 34 18 81 109 100 88 128 55
## [120] 45 9 39 141 129 84 101 119 9 62 107 91 31 31 59 130 117
## [137] 59 85 67 49 23 22 103 13 124 131 101 111 133 74
##
## $btree
## n= 150
##
## node), split, n, loss, yval, (yprob)
## * denotes terminal node
##
## 1) root 150 98 WinNF (0.29 0.35 0.067 0.047 0.033 0.21)
## 2) Ba< 0.335 121 70 WinNF (0.36 0.42 0.083 0.05 0.041 0.041)
## 4) Mg>=3.355 76 32 WinF (0.58 0.29 0.13 0 0 0)
## 8) Al< 1.43 48 10 WinF (0.79 0.083 0.12 0 0 0)
## 16) RI>=-1.045 41 5 WinF (0.88 0.098 0.024 0 0 0)
## 32) Mg< 3.775 33 1 WinF (0.97 0.03 0 0 0 0)
## 64) K< 0.63 31 0 WinF (1 0 0 0 0 0) *
## 65) K>=0.63 2 1 WinF (0.5 0.5 0 0 0 0)
## 130) RI< 0.17 1 0 WinF (1 0 0 0 0 0) *
## 131) RI>=0.17 1 0 WinNF (0 1 0 0 0 0) *
## 33) Mg>=3.775 8 4 WinF (0.5 0.38 0.12 0 0 0)
## 66) Al< 0.9 4 0 WinF (1 0 0 0 0 0) *
## 67) Al>=0.9 4 1 WinNF (0 0.75 0.25 0 0 0)
## 134) RI< 2.12 3 0 WinNF (0 1 0 0 0 0) *
## 135) RI>=2.12 1 0 Veh (0 0 1 0 0 0) *
## 17) RI< -1.045 7 2 Veh (0.29 0 0.71 0 0 0)
## 34) RI< -2.005 2 0 WinF (1 0 0 0 0 0) *
## 35) RI>=-2.005 5 0 Veh (0 0 1 0 0 0) *
## 9) Al>=1.43 28 10 WinNF (0.21 0.64 0.14 0 0 0)
## 18) Si>=72.495 24 6 WinNF (0.25 0.75 0 0 0 0)
## 36) Na>=13.385 3 0 WinF (1 0 0 0 0 0) *
## 37) Na< 13.385 21 3 WinNF (0.14 0.86 0 0 0 0)
## 74) Fe>=0.225 2 0 WinF (1 0 0 0 0 0) *
## 75) Fe< 0.225 19 1 WinNF (0.053 0.95 0 0 0 0)
## 150) RI>=-0.77 2 1 WinF (0.5 0.5 0 0 0 0)
## 300) RI< 0.035 1 0 WinF (1 0 0 0 0 0) *
## 301) RI>=0.035 1 0 WinNF (0 1 0 0 0 0) *
## 151) RI< -0.77 17 0 WinNF (0 1 0 0 0 0) *
## 19) Si< 72.495 4 0 Veh (0 0 1 0 0 0) *
## 5) Mg< 3.355 45 16 WinNF (0 0.64 0 0.13 0.11 0.11)
## 10) Na< 13.99 39 11 WinNF (0 0.72 0 0.15 0 0.13)
## 20) Si< 73.335 30 5 WinNF (0 0.83 0 0.067 0 0.1)
## 40) Mg< 3.335 26 2 WinNF (0 0.92 0 0.077 0 0)
## 80) Mg>=0.505 19 0 WinNF (0 1 0 0 0 0) *
## 81) Mg< 0.505 7 2 WinNF (0 0.71 0 0.29 0 0)
## 162) RI>=6.22 5 0 WinNF (0 1 0 0 0 0) *
## 163) RI< 6.22 2 0 Con (0 0 0 1 0 0) *
## 41) Mg>=3.335 4 1 Head (0 0.25 0 0 0 0.75)
## 82) RI< 1.525 1 0 WinNF (0 1 0 0 0 0) *
## 83) RI>=1.525 3 0 Head (0 0 0 0 0 1) *
## 21) Si>=73.335 9 5 Con (0 0.33 0 0.44 0 0.22)
## 42) RI< 1.685 5 2 WinNF (0 0.6 0 0 0 0.4)
## 84) RI>=-1.02 3 0 WinNF (0 1 0 0 0 0) *
## 85) RI< -1.02 2 0 Head (0 0 0 0 0 1) *
## 43) RI>=1.685 4 0 Con (0 0 0 1 0 0) *
## 11) Na>=13.99 6 1 Tabl (0 0.17 0 0 0.83 0)
## 22) RI< -1.695 1 0 WinNF (0 1 0 0 0 0) *
## 23) RI>=-1.695 5 0 Tabl (0 0 0 0 1 0) *
## 3) Ba>=0.335 29 2 Head (0 0.034 0 0.034 0 0.93)
## 6) Si< 71.25 2 1 WinNF (0 0.5 0 0.5 0 0)
## 12) RI>=5.195 1 0 WinNF (0 1 0 0 0 0) *
## 13) RI< 5.195 1 0 Con (0 0 0 1 0 0) *
## 7) Si>=71.25 27 0 Head (0 0 0 0 0 1) *
##
## attr(,"class")
## class
## "sclass"
##
## $mtrees[[25]]
## $bindx
## [1] 137 47 16 52 105 110 18 22 80 75 43 128 98 118 15 76 38
## [18] 115 125 63 104 89 5 28 1 27 125 115 140 110 36 124 22 122
## [35] 17 135 52 62 130 31 112 37 146 115 10 131 63 60 105 30 7
## [52] 114 53 87 39 85 28 142 5 87 24 38 20 23 132 48 16 66
## [69] 31 134 52 73 130 87 13 31 9 50 149 23 71 33 45 109 23
## [86] 11 106 83 133 44 57 15 36 29 30 25 29 126 53 36 84 5
## [103] 116 80 33 123 93 89 14 4 47 136 148 22 5 48 106 33 144
## [120] 117 31 13 86 3 118 93 88 117 122 101 114 26 22 24 13 78
## [137] 150 78 44 142 127 136 21 6 109 32 120 2 121 104
##
## $btree
## n= 150
##
## node), split, n, loss, yval, (yprob)
## * denotes terminal node
##
## 1) root 150 92 WinNF (0.33 0.39 0.093 0.033 0.027 0.13)
## 2) Ba< 0.275 130 72 WinNF (0.38 0.45 0.11 0.023 0.031 0.0077)
## 4) Al< 1.405 72 28 WinF (0.61 0.19 0.15 0 0.028 0.014)
## 8) RI>=-1.555 62 20 WinF (0.68 0.23 0.081 0 0 0.016)
## 16) Mg>=1.42 58 16 WinF (0.72 0.17 0.086 0 0 0.017)
## 32) Ca>=8.465 47 9 WinF (0.81 0.064 0.11 0 0 0.021)
## 64) Fe< 0.195 42 5 WinF (0.88 0.024 0.071 0 0 0.024)
## 128) K>=0.115 35 2 WinF (0.94 0.029 0 0 0 0.029)
## 256) RI< 5.075 34 1 WinF (0.97 0.029 0 0 0 0)
## 512) Ca>=8.535 30 0 WinF (1 0 0 0 0 0) *
## 513) Ca< 8.535 4 1 WinF (0.75 0.25 0 0 0 0)
## 1026) Al>=1.23 3 0 WinF (1 0 0 0 0 0) *
## 1027) Al< 1.23 1 0 WinNF (0 1 0 0 0 0) *
## 257) RI>=5.075 1 0 Head (0 0 0 0 0 1) *
## 129) K< 0.115 7 3 WinF (0.57 0 0.43 0 0 0)
## 258) RI>=3.7 3 0 WinF (1 0 0 0 0 0) *
## 259) RI< 3.7 4 1 Veh (0.25 0 0.75 0 0 0)
## 518) Ca< 8.91 1 0 WinF (1 0 0 0 0 0) *
## 519) Ca>=8.91 3 0 Veh (0 0 1 0 0 0) *
## 65) Fe>=0.195 5 3 WinNF (0.2 0.4 0.4 0 0 0)
## 130) Al>=0.93 3 1 WinNF (0.33 0.67 0 0 0 0)
## 260) Na< 12.83 1 0 WinF (1 0 0 0 0 0) *
## 261) Na>=12.83 2 0 WinNF (0 1 0 0 0 0) *
## 131) Al< 0.93 2 0 Veh (0 0 1 0 0 0) *
## 33) Ca< 8.465 11 4 WinNF (0.36 0.64 0 0 0 0)
## 66) RI< -0.115 5 1 WinF (0.8 0.2 0 0 0 0)
## 132) RI>=-1.055 4 0 WinF (1 0 0 0 0 0) *
## 133) RI< -1.055 1 0 WinNF (0 1 0 0 0 0) *
## 67) RI>=-0.115 6 0 WinNF (0 1 0 0 0 0) *
## 17) Mg< 1.42 4 0 WinNF (0 1 0 0 0 0) *
## 9) RI< -1.555 10 4 Veh (0.2 0 0.6 0 0.2 0)
## 18) RI< -2.005 4 2 WinF (0.5 0 0 0 0.5 0)
## 36) RI>=-6.35 2 0 WinF (1 0 0 0 0 0) *
## 37) RI< -6.35 2 0 Tabl (0 0 0 0 1 0) *
## 19) RI>=-2.005 6 0 Veh (0 0 1 0 0 0) *
## 5) Al>=1.405 58 14 WinNF (0.1 0.76 0.052 0.052 0.034 0)
## 10) Mg>=2.235 52 9 WinNF (0.12 0.83 0.058 0 0 0)
## 20) Ca< 8.345 38 3 WinNF (0.079 0.92 0 0 0 0)
## 40) RI< -2.275 3 1 WinF (0.67 0.33 0 0 0 0)
## 80) RI>=-2.3 2 0 WinF (1 0 0 0 0 0) *
## 81) RI< -2.3 1 0 WinNF (0 1 0 0 0 0) *
## 41) RI>=-2.275 35 1 WinNF (0.029 0.97 0 0 0 0)
## 82) K< 0.415 3 1 WinNF (0.33 0.67 0 0 0 0)
## 164) RI>=-2.04 1 0 WinF (1 0 0 0 0 0) *
## 165) RI< -2.04 2 0 WinNF (0 1 0 0 0 0) *
## 83) K>=0.415 32 0 WinNF (0 1 0 0 0 0) *
## 21) Ca>=8.345 14 6 WinNF (0.21 0.57 0.21 0 0 0)
## 42) Ca< 8.49 5 2 WinF (0.6 0 0.4 0 0 0)
## 84) RI>=-1 3 0 WinF (1 0 0 0 0 0) *
## 85) RI< -1 2 0 Veh (0 0 1 0 0 0) *
## 43) Ca>=8.49 9 1 WinNF (0 0.89 0.11 0 0 0)
## 86) Na< 13.245 7 0 WinNF (0 1 0 0 0 0) *
## 87) Na>=13.245 2 1 WinNF (0 0.5 0.5 0 0 0)
## 174) RI>=1.285 1 0 WinNF (0 1 0 0 0 0) *
## 175) RI< 1.285 1 0 Veh (0 0 1 0 0 0) *
## 11) Mg< 2.235 6 3 Con (0 0.17 0 0.5 0.33 0)
## 22) Si< 72.68 3 1 Tabl (0 0.33 0 0 0.67 0)
## 44) Na< 14.035 1 0 WinNF (0 1 0 0 0 0) *
## 45) Na>=14.035 2 0 Tabl (0 0 0 0 1 0) *
## 23) Si>=72.68 3 0 Con (0 0 0 1 0 0) *
## 3) Ba>=0.275 20 2 Head (0 0 0 0.1 0 0.9)
## 6) Si< 71.25 2 0 Con (0 0 0 1 0 0) *
## 7) Si>=71.25 18 0 Head (0 0 0 0 0 1) *
##
## attr(,"class")
## class
## "sclass"
##
##
## $OOB
## [1] FALSE
##
## $comb
## [1] FALSE
##
## $call
## bagging.data.frame(formula = type ~ ., data = training_data,
## coop = TRUE)
##
## attr(,"class")
## [1] "summary.bagging"
#Model Building Phase Completed
#Getting the test data ready for predictions
test_data <- within(testing_data,rm(type))
#PREDICTIONS USING ALL MODELS
#Install and load up the caret package to be used for making confusion matrix and doing post model
#analysis of models
if(!require(caret)){
install.packages("caret")
}
## Loading required package: caret
## Loading required package: lattice
## Loading required package: ggplot2
library(caret)
lda_predictions <- predict(lda_model,newdata = test_data)$class
confusionMatrix(lda_predictions,actual_outcomes)
## Confusion Matrix and Statistics
##
## Reference
## Prediction WinF WinNF Veh Con Tabl Head
## WinF 15 4 3 0 1 0
## WinNF 11 14 1 2 0 0
## Veh 0 0 0 0 0 0
## Con 0 1 0 5 1 1
## Tabl 0 1 0 0 1 0
## Head 0 0 0 0 0 3
##
## Overall Statistics
##
## Accuracy : 0.5938
## 95% CI : (0.4637, 0.7149)
## No Information Rate : 0.4062
## P-Value [Acc > NIR] : 0.001888
##
## Kappa : 0.419
## Mcnemar's Test P-Value : NA
##
## Statistics by Class:
##
## Class: WinF Class: WinNF Class: Veh Class: Con
## Sensitivity 0.5769 0.7000 0.0000 0.71429
## Specificity 0.7895 0.6818 1.0000 0.94737
## Pos Pred Value 0.6522 0.5000 NaN 0.62500
## Neg Pred Value 0.7317 0.8333 0.9375 0.96429
## Prevalence 0.4062 0.3125 0.0625 0.10938
## Detection Rate 0.2344 0.2188 0.0000 0.07812
## Detection Prevalence 0.3594 0.4375 0.0000 0.12500
## Balanced Accuracy 0.6832 0.6909 0.5000 0.83083
## Class: Tabl Class: Head
## Sensitivity 0.33333 0.75000
## Specificity 0.98361 1.00000
## Pos Pred Value 0.50000 1.00000
## Neg Pred Value 0.96774 0.98361
## Prevalence 0.04688 0.06250
## Detection Rate 0.01562 0.04688
## Detection Prevalence 0.03125 0.04688
## Balanced Accuracy 0.65847 0.87500
lda_error <- mean(lda_predictions!=actual_outcomes)
classification_tree_predictions <- predict(classification_tree,newdata = test_data,type = "class")
confusionMatrix(classification_tree_predictions,actual_outcomes)
## Confusion Matrix and Statistics
##
## Reference
## Prediction WinF WinNF Veh Con Tabl Head
## WinF 20 4 4 0 1 0
## WinNF 5 16 0 7 2 1
## Veh 0 0 0 0 0 0
## Con 0 0 0 0 0 0
## Tabl 0 0 0 0 0 0
## Head 1 0 0 0 0 3
##
## Overall Statistics
##
## Accuracy : 0.6094
## 95% CI : (0.4793, 0.729)
## No Information Rate : 0.4062
## P-Value [Acc > NIR] : 0.0008234
##
## Kappa : 0.4087
## Mcnemar's Test P-Value : NA
##
## Statistics by Class:
##
## Class: WinF Class: WinNF Class: Veh Class: Con
## Sensitivity 0.7692 0.8000 0.0000 0.0000
## Specificity 0.7632 0.6591 1.0000 1.0000
## Pos Pred Value 0.6897 0.5161 NaN NaN
## Neg Pred Value 0.8286 0.8788 0.9375 0.8906
## Prevalence 0.4062 0.3125 0.0625 0.1094
## Detection Rate 0.3125 0.2500 0.0000 0.0000
## Detection Prevalence 0.4531 0.4844 0.0000 0.0000
## Balanced Accuracy 0.7662 0.7295 0.5000 0.5000
## Class: Tabl Class: Head
## Sensitivity 0.00000 0.75000
## Specificity 1.00000 0.98333
## Pos Pred Value NaN 0.75000
## Neg Pred Value 0.95312 0.98333
## Prevalence 0.04688 0.06250
## Detection Rate 0.00000 0.04688
## Detection Prevalence 0.00000 0.06250
## Balanced Accuracy 0.50000 0.86667
classification_tree_error <- mean(classification_tree_predictions!=actual_outcomes)
random_forest_predictions <- predict(random_forest,newdata = test_data)
confusionMatrix(random_forest_predictions,actual_outcomes)
## Confusion Matrix and Statistics
##
## Reference
## Prediction WinF WinNF Veh Con Tabl Head
## WinF 23 1 3 0 0 0
## WinNF 2 18 0 4 1 1
## Veh 1 0 1 0 0 0
## Con 0 0 0 3 0 0
## Tabl 0 1 0 0 2 0
## Head 0 0 0 0 0 3
##
## Overall Statistics
##
## Accuracy : 0.7812
## 95% CI : (0.6603, 0.8749)
## No Information Rate : 0.4062
## P-Value [Acc > NIR] : 1.093e-09
##
## Kappa : 0.6827
## Mcnemar's Test P-Value : NA
##
## Statistics by Class:
##
## Class: WinF Class: WinNF Class: Veh Class: Con
## Sensitivity 0.8846 0.9000 0.25000 0.42857
## Specificity 0.8947 0.8182 0.98333 1.00000
## Pos Pred Value 0.8519 0.6923 0.50000 1.00000
## Neg Pred Value 0.9189 0.9474 0.95161 0.93443
## Prevalence 0.4062 0.3125 0.06250 0.10938
## Detection Rate 0.3594 0.2812 0.01562 0.04688
## Detection Prevalence 0.4219 0.4062 0.03125 0.04688
## Balanced Accuracy 0.8897 0.8591 0.61667 0.71429
## Class: Tabl Class: Head
## Sensitivity 0.66667 0.75000
## Specificity 0.98361 1.00000
## Pos Pred Value 0.66667 1.00000
## Neg Pred Value 0.98361 0.98361
## Prevalence 0.04688 0.06250
## Detection Rate 0.03125 0.04688
## Detection Prevalence 0.04688 0.04688
## Balanced Accuracy 0.82514 0.87500
random_forest_error <- mean(random_forest_predictions!=actual_outcomes)
bagging_predictions <- predict(bagging_model,newdata = test_data)
confusionMatrix(bagging_predictions,actual_outcomes)
## Warning in confusionMatrix.default(bagging_predictions, actual_outcomes):
## Levels are not in the same order for reference and data. Refactoring data
## to match.
## Confusion Matrix and Statistics
##
## Reference
## Prediction WinF WinNF Veh Con Tabl Head
## WinF 21 2 1 0 1 0
## WinNF 3 16 2 4 0 1
## Veh 1 1 1 0 0 0
## Con 0 0 0 3 0 0
## Tabl 0 1 0 0 2 0
## Head 1 0 0 0 0 3
##
## Overall Statistics
##
## Accuracy : 0.7188
## 95% CI : (0.5924, 0.824)
## No Information Rate : 0.4062
## P-Value [Acc > NIR] : 4.112e-07
##
## Kappa : 0.5983
## Mcnemar's Test P-Value : NA
##
## Statistics by Class:
##
## Class: WinF Class: WinNF Class: Veh Class: Con
## Sensitivity 0.8077 0.8000 0.25000 0.42857
## Specificity 0.8947 0.7727 0.96667 1.00000
## Pos Pred Value 0.8400 0.6154 0.33333 1.00000
## Neg Pred Value 0.8718 0.8947 0.95082 0.93443
## Prevalence 0.4062 0.3125 0.06250 0.10938
## Detection Rate 0.3281 0.2500 0.01562 0.04688
## Detection Prevalence 0.3906 0.4062 0.04688 0.04688
## Balanced Accuracy 0.8512 0.7864 0.60833 0.71429
## Class: Tabl Class: Head
## Sensitivity 0.66667 0.75000
## Specificity 0.98361 0.98333
## Pos Pred Value 0.66667 0.75000
## Neg Pred Value 0.98361 0.98333
## Prevalence 0.04688 0.06250
## Detection Rate 0.03125 0.04688
## Detection Prevalence 0.04688 0.06250
## Balanced Accuracy 0.82514 0.86667
bagging_error <- mean(bagging_predictions!=actual_outcomes)
#printing all the errors for glancing for final decision
bagging_error
## [1] 0.28125
random_forest_error
## [1] 0.21875
lda_error
## [1] 0.40625
classification_tree_error
## [1] 0.390625
#As we that random_forest_error is the least error of all the model errors that we found.
#Hence, random forest is the best model for our current case study on fgl dataset.