rfPermute: confusionMatrix – R documentation

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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 = 0.8)

Arguments

`rf`	a `randomForest` object.
`conf.level`	confidence level for the `binom.test` confidence interval
`threshold`	threshold to test observed classification probability against.

Author(s)

Eric Archer eric.archer@noaa.gov

Examples

data(mtcars)

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

rfPermute

Estimate Permutation p-Values for Random Forest Importance Metrics

v2.1.81

GPL (>= 2)

Authors

Eric Archer [aut, cre]

Initial release