This function calculates ROC Curves and AUC values with 95% confidence range. It also works for multi-categorical models.
ROC(tag, score, multis = NA)
Vector. Real known label
Vector. Predicted value or model's result
Data.frame. Containing columns with each category score (only used when more than 2 categories coexist)
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