evalml.objectives.CostBenefitMatrix

class evalml.objectives.CostBenefitMatrix(true_positive, true_negative, false_positive, false_negative)

Score using a cost-benefit matrix. Scores quantify the benefits of a given value, so greater numeric scores represents a better score. Costs and scores can be negative, indicating that a value is not beneficial. For example, in the case of monetary profit, a negative cost and/or score represents loss of cash flow.

Methods

__init__	Create instance of CostBenefitMatrix.
calculate_percent_difference	Calculate the percent difference between scores.
decision_function	Apply a learned threshold to predicted probabilities to get predicted classes.
objective_function	Calculates cost-benefit of the using the predicted and true values.
optimize_threshold	Learn a binary classification threshold which optimizes the current objective.
score	Returns a numerical score indicating performance based on the differences between the predicted and actual values.
validate_inputs	Validates the input based on a few simple checks.

evalml.objectives.LeadScoring.validate_inputs evalml.objectives.CostBenefitMatrix.__init__