EvaluateWithRocr: Evaluate With Rocr
In citronmeliss/predictionpackr: Predictionpackr

Evaluate the classifier performance using ROCR.

1 2	EvaluateWithRocr(predictions, outcome, measure = "auc", reverse = FALSE)

`predictions`	Numeric vector. Model predictions. No default.
`outcome`	Numeric vector. The outcome of interest. No default.
`measure`	Character vector of length 1. The ROCR measure to estimate. Defaults to "auc".
`reverse`	Logical vector of length 1. If TRUE the functions returns the 1 - AUC rather than AUC. Defaults to FALSE.