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, ww.DataColumn) – Predicted labels

• y_true (pd.Series, ww.DataColumn) – True labels

• X (pd.DataFrame, ww.DataTable) – Ignored.

Returns

Cost-benefit matrix score

Return type

float

evalml.objectives.CostBenefitMatrix.is_defined_for_problem_type evalml.objectives.CostBenefitMatrix.optimize_threshold