pmut.auc: Calculate Model Prediction AUC with Visulization
In chengjunhou/pmut: Predictive Modeling Utility-function Toolkit

Description Usage Arguments Value Examples

View source: R/pmut.auc.R

This function calculates area under the ROC curve for model prediction, without any package dependency.

1	pmut.auc(aa, pp, plot = FALSE)

`aa`	Vector of actuals, could be non-binary, but all non-zero will be treated as TRUE
`pp`	Vector of predictions, could be any value, probability is most ideal
`plot`	Logical (defualt is FALSE), TRUE indicates plotting the auc curve

A single numeric value for auc

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actuals = c(1,1,1,1,0,1,1,0,1,0,1,0,1,0,0,1,0,0,0,0)
predicts = rev(seq_along(actuals)); predicts[9:10] = mean(predicts[9:10])
pmut.auc(actuals, predicts, plot=TRUE)