rfPermute (version 2.2)

confusionMatrix: Confusion Matrix

Description

Generate a confusion matrix for Random Forest analyses with error rates translated into percent correctly classified, and columns for confidence intervals and expected classification rates (priors) added.

Usage

confusionMatrix(rf, conf.level = 0.95, threshold = NULL, digits = 1)

Arguments

rf

a randomForest object.

conf.level

confidence level for the binom.test confidence interval

threshold

threshold to test observed classification probability against.

digits

integer indicating the number of decimal places to round values to.

See Also

classConfInt, exptdErrRate

Examples

# NOT RUN {
data(mtcars)

rf <- randomForest(factor(am) ~ ., mtcars, importance = TRUE)
confusionMatrix(rf)

# }