confusionMatrix: Confusion Matrix

In rfPermute: Estimate Permutation p-Values for Random Forest Importance Metrics

Confusion Matrix

Description

Generate a confusion matrix for Random Forest classification models with error rates translated into percent correctly classified, and columns for confidence intervals added.

Usage

confusionMatrix(x, conf.level = 0.95, threshold = NULL)

plotConfMat(x, title = NULL, plot = TRUE)

Arguments

x	a rfPermute or randomForest model object.
conf.level	confidence level for the binom.test confidence interval
threshold	threshold to test observed classification probability against. Should be a number between 0 and 1. If not NULL, the output matrix will have extra columns giving the one-tailed probability that the true correct classification is >= threshold.
title	a title for the plot.
plot	display the plot?

Author(s)

Eric Archer [e-mail]

See Also

classPriors

Examples

library(randomForest)
data(mtcars)

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

confusionMatrix(rf, conf.level = 0.75)

confusionMatrix(rf, threshold = 0.7)
confusionMatrix(rf, threshold = 0.8)
confusionMatrix(rf, threshold = 0.95)

rfPermute documentation built on Aug. 24, 2023, 1:08 a.m.