evalml.objectives.AUCMicro

class evalml.objectives.AUCMicro

AUC score for multiclass classification using micro averaging.

name = 'AUC Micro'

greater_is_better = True

perfect_score = 1.0

positive_only = False

problem_types = [<ProblemTypes.MULTICLASS: 'multiclass'>, <ProblemTypes.TIME_SERIES_MULTICLASS: 'time series multiclass'>]

score_needs_proba = True

Methods

__init__	Initialize self.
calculate_percent_difference	Calculate the percent difference between scores.
is_defined_for_problem_type
objective_function	Computes the relative value of the provided predictions compared to the actual labels, according a specified metric
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.AUCMacro.validate_inputs evalml.objectives.AUCMicro.__init__