evalml.objectives.CostBenefitMatrix.objective_function

CostBenefitMatrix.objective_function(y_true, y_predicted, X=None)

Calculates cost-benefit of the using the predicted and true values.

Parameters

• y_predicted (pd.Series) – Predicted labels

• y_true (pd.Series) – True labels

• X (pd.DataFrame) – Ignored.

Returns

score

Return type

float

evalml.objectives.CostBenefitMatrix.decision_function evalml.objectives.CostBenefitMatrix.optimize_threshold