evalml.objectives.CostBenefitMatrix.objective_function¶

CostBenefitMatrix.objective_function(y_true, y_predicted, X=None)[source]¶

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