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funModeling (version 1.8)

ROC: ROC Curves

Description

This function calculates ROC Curves and AUC values with 95% confidence range. It also works for multi-categorical models.

Usage

ROC(tag, score, multis = NA)

Arguments

tag

Vector. Real known label

score

Vector. Predicted value or model's result

multis

Data.frame. Containing columns with each category score (only used when more than 2 categories coexist)

See Also

Other Machine Learning: mplot_cuts_error, mplot_cuts, mplot_density, mplot_full, mplot_lineal, mplot_metrics, mplot_roc, mplot_splits

Other Calculus: dist2d, errors, mae, mape, mse, rmse, rsqa, rsq