rpartErr: Calculate Error Rates for rpart model

In gamclass: Functions and Data for a Course on Modern Regression and Classification

Calculate Error Rates for rpart model

Description

Given an rpart model object, calculate training set error, 10-fold cross-validation error, and test set error.

Usage

rpartErr(train.rp, train, test, group = "type")

Arguments

train.rp	Fitted lda model object.
train	Training set data frame.
test	Test set data frame.
group	Factor that identifies groups

Value

Vector that holds training set error, 10-fold cross-validation error, and test set error rates.

Examples

## Not run: 
data(spam, package='kernlab')
spam[,-58] <- scale(spam[,-58])
nr <- sample(1:nrow(spam))
spam01 <- spam[nr[1:3601],]     ## Use for training,
## if holdout not needed
spam2 <- spam[nr[3602:4601],]   ## Test
spam01.rp <- rpart(type~., data=spam01, cp=0.0001)
rpRates <- rpartErr(train.rp=spam01.rp, train=spam01, test=spam2,
                    group='type')

## End(Not run)

gamclass documentation built on Aug. 21, 2023, 5:07 p.m.