Estimating Performance for Multiclass Classification

We currently support the following standard metrics for multiclass classification performance estimation:

  • roc_auc - one-vs-the-rest, macro-averaged

  • f1 - macro-averaged

  • precision - macro-averaged

  • recall - macro-averaged

  • specificity - macro-averaged

  • accuracy

For more information about estimating these metrics, refer to the Estimating Standard Performance Metrics for Binary Classification section.

We also support the following complex metrics for multiclass classification performance estimation:

  • confusion_matrix

For more information about estimating the confusion matrix for multiclass problems, refer to the Estimating Confusion Matrix Elements for Multiclass Classification section.