Apply a learned threshold to predicted probabilities to get predicted classes.
Calculate the profit per lead.
Learn a binary classification threshold which optimizes the current objective.
Returns a numerical score indicating performance based on the differences between the predicted and actual values.
Validates the input based on a few simple checks.