rfErr function

Calculate Error Rates for randomForest model

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

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

Arguments

• train.rf: Fitted randomForest model object.
• train: Training set data frame.
• test: Test set data frame.
• group: Factor that identifies groups

Returns

Vector that holds training set error, out-of-bag (OOB) 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,
spam2 <- spam[nr[3602:4601],]   ## Test
spam01.rf <- randomForest(type ~ ., data=spam01)
rfRates <- rfErr(train.rf=spam01.rf, train=spam01, test=spam2,
                 group='type')
## End(Not run)