gamclass (version 0.62.5)

rfErr: Calculate Error Rates for randomForest model

Description

Given an randomForest model object, calculate training set error, out-of-bag (OOB) error, and test set error.

Usage

rfErr(train.rf, train, test, group = "type")

Value

Vector that holds training set error, out-of-bag (OOB) error, and test set error rates.

Arguments

train.rf

Fitted randomForest model object.

train

Training set data frame.

test

Test set data frame.

group

Factor that identifies groups

Examples

if (FALSE) {
data(spam, package='kernlab')
spam[,-58] <- scale(spam[,-58])
nr <- sample(1:nrow(spam))
spam01 <- spam[nr[1:3601],]     ## Use for training,
spam2 <- spam[nr[3602:4601],]   ## Test
spam01.rf <- randomForest(type ~ ., data=spam01)
rfRates <- rfErr(train.rf=spam01.rf, train=spam01, test=spam2,
                 group='type')
}