rfPermute: pctCorrect – R documentation

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pctCorrect

Percent Correctly Classified

Calculate the percent of individuals correctly classified in a specified percent of trees in the forest.

pctCorrect(rf, pct = c(seq(0.8, 0.95, 0.05), 0.99))

`rf`	a `randomForest` or `rfPermute` object.
`pct`	vector of minimum percent of trees voting for each class. Can be `0:1` or `0:100`.

a matrix giving the percent of individuals correctly classified in each class and overall for each threshold value specified in pct.

data(mtcars)

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

Estimate Permutation p-Values for Random Forest Importance Metrics

v2.1.81

GPL (>= 2)

Authors

Eric Archer [aut, cre]

Initial release