autointent.metrics.decision.decision_recall#

autointent.metrics.decision.decision_recall(y_true, y_pred)#

Calculate decision recall. Supports both multiclass and multilabel.

This function internally uses sklearn.metrics.recall_score() with average=macro. Refer to the scikit-learn documentation for more details.

Parameters:
  • y_true (autointent.metrics.custom_types.LABELS_VALUE_TYPE) – True values of labels

  • y_pred (autointent.metrics.custom_types.LABELS_VALUE_TYPE) – Predicted values of labels

Returns:

Score of the decision recall

Return type:

float