We currently support the following standard metrics for multiclass classification performance calculation:
- roc_auc
- f1
- precision
- recall
- specificity
- accuracy
For more information about estimating these metrics, refer to the :ref:`multiclass-standard-metric-calculation` section.
We also support the following complex metric for multiclass classification performance calculation:
- confusion_matrix
For more information about estimating this metrics, refer to the :ref:`multiclass-confusion-matrix-estimation` section.
.. toctree:: :maxdepth: 2 multiclass_performance_calculation/standard_metric_calculation multiclass_performance_calculation/confusion_matrix_calculation