rfPermute: classConfInt – R documentation

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classConfInt

Classification Confidence Intervals

Calculate confidence intervals for Random Forest classifications

classConfInt(rf, conf.level = 0.95, threshold = 0.8)

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

A matrix with the following columns for each class and overall:

pct.correct: percent correctly classified
LCI_##, UCI_##: the lower and upper central confidence intervals given conf.level
Pr.gt_##: the probability that the true classification probability is >= threshold

data(symb.metab)

rf <- randomForest(type ~ ., symb.metab)
classConfInt(rf)

Estimate Permutation p-Values for Random Forest Importance Metrics

v2.1.81

GPL (>= 2)

Authors

Eric Archer [aut, cre]

Initial release