autointent.metrics.decision_precision

autointent.metrics.decision_precision(y_true, y_pred)

Calculate decision precision. Supports both multiclass and multilabel.

This function internally uses sklearn.metrics.precision_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 precision

Return type:

float