evalml.objectives.LeadScoring¶

class evalml.objectives.LeadScoring(true_positives=1, false_positives=-1)[source]¶

Lead scoring.

Methods

`__init__`	Create instance.
`calculate_percent_difference`	Calculate the percent difference between scores.
`decision_function`	Apply a learned threshold to predicted probabilities to get predicted classes.
`objective_function`	Calculate the profit per lead.
`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.