Classification

A collection of different metrics for classification models.

AUCPR(true_positives, false_positives, ...)	Computes area under the precision-recall curve for binary classification given predictions and labels.
AUCROC(true_positives, true_negatives, ...)	Computes Area Under the ROC curve (AUC-ROC).
Accuracy(total, count)	Computes accuracy, which is the frequency with which predictions match labels.
FBetaScore(true_positives, false_positives, ...)	F-Beta score Metric class.
Precision(true_positives, false_positives)	Computes precision for binary classification given predictions and labels.
Recall(true_positives, false_negatives)	Computes recall for binary classification given predictions and labels.