AUC and evaluation#

aucplot visualizes AUC-oriented model results. evalplot renders classification/evaluation views such as confusion-matrix/report-style output.

Before plotting, decide which values are truth labels, prediction labels and scores/probabilities. A plotting wrapper cannot infer that a probability column belongs to the wrong class.

When hue is used, verify that grouping does not accidentally mix data from different evaluation splits or models with incompatible score semantics.