def METHOD_NAME(predictions, score):
    fraud_cost = FraudCost(retry_percentage=1, interchange_fee=0.0, amount_col="value")
    y_predicted = pd.Series(predictions)
    y_true = pd.Series([True, False, True])
    extra_columns = pd.DataFrame({"value": [100, 5, 250]})
    out = fraud_cost.decision_function(y_predicted, 0.45)
    scores = fraud_cost.score(y_true=y_true, y_predicted=out, X=extra_columns)
    assert scores == score