evalml.objectives.FraudCost.objective_function¶
- 
FraudCost.objective_function(y_predicted, y_true, extra_cols)[source]¶
- Calculate amount lost to fraud per transaction given predictions, true values, and dataframe with transaction amount - Parameters
- y_predicted (pd.Series) – predicted fraud labels 
- y_true (pd.Series) – true fraud labels 
- extra_cols (pd.DataFrame) – extra data needed 
 
- Returns
- amount lost to fraud per transaction 
- Return type
- float