evalml.objectives.LeadScoring.objective_function

LeadScoring.objective_function(y_true, y_predicted, X=None, sample_weight=None)

Calculate the profit per lead.

Parameters

• y_predicted (pd.Series) – Predicted labels

• y_true (pd.Series) – True labels

• X (pd.DataFrame) – Ignored.

• sample_weight (pd.DataFrame) – Ignored.

Returns

Profit per lead

Return type

float

evalml.objectives.LeadScoring.is_defined_for_problem_type evalml.objectives.LeadScoring.optimize_threshold