Base class for all binary classification objectives.
problem_type (ProblemTypes): Type of problem this objective is. Set to ProblemTypes.BINARY. can_optimize_threshold (bool): Determines if threshold used by objective can be optimized or not.
Apply a learned threshold to predicted probabilities to get predicted classes.
Computes the relative value of the provided predictions compared to the actual labels, according a specified metric
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.