evalml.objectives.Precision.score

Precision.score(y_true, y_predicted, X=None)

Returns a numerical score indicating performance based on the differences between the predicted and actual values.

Parameters

• y_predicted (pd.Series) – predicted values of length [n_samples]

• y_true (pd.Series) – actual class labels of length [n_samples]

• X (pd.DataFrame or np.array) – extra data of shape [n_samples, n_features] necessary to calculate score

Returns

score

evalml.objectives.Precision.optimize_threshold evalml.objectives.Precision.validate_inputs