evalml.objectives.BinaryClassificationObjective

class evalml.objectives.BinaryClassificationObjective

Base class for all binary classification objectives.

problem_types = [<ProblemTypes.BINARY: 'binary'>, <ProblemTypes.TIME_SERIES_BINARY: 'time series binary'>]

Methods

__init__	Initialize self.
calculate_percent_difference	Calculate the percent difference between scores.
decision_function	Apply a learned threshold to predicted probabilities to get predicted classes.
is_defined_for_problem_type
objective_function	Computes the relative value of the provided predictions compared to the actual labels, according a specified metric
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.

Class Inheritance

evalml.objectives.ObjectiveBase.validate_inputs evalml.objectives.BinaryClassificationObjective.__init__