evalml.objectives.LeadScoring.objective_function

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

Calculate the profit per lead.

Parameters

• y_predicted (pd.Series) – predicted labels

• y_true (pd.Series) – true labels

• X (pd.DataFrame) – None, not used.

Returns

profit per lead

Return type

float

evalml.objectives.LeadScoring.decision_function evalml.objectives.LeadScoring.optimize_threshold