evalml.objectives.LeadScoring.objective_function¶

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

Calculate the profit per lead.

Parameters

y_predicted (ww.DataColumn, pd.Series) – Predicted labels
y_true (ww.DataColumn, pd.Series) – True labels
X (ww.DataTable, pd.DataFrame) – Ignored.

Returns

Profit per lead

Return type

float

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