Evaluation classes for multi-class classification. Also used as the basis for the multi-label classification evaluation package.
User specified metrics are not currently supported.
ClassDescriptionDefines methods that calculate classification performance, used for both multi-class and multi-label classification.A confusion matrix for
Classifiables.Static functions for computing classification metrics based on a
ConfusionMatrix.A confusion matrix for
Labels.Adds multi-class classification specific metrics to
ClassifierEvaluation.Static utility functions for calculating performance metrics on
Labels.Stores the Precision-Recall curve as three arrays: the precisions, the recalls, and the thresholds associated with those values.Stores the ROC curve as three arrays: the false positive rate, the true positive rate, and the thresholds associated with those rates.An enum of the default
LabelMetrics supported by the multi-class classification evaluation package.