evalml.objectives.AccuracyBinary

class evalml.objectives.AccuracyBinary[source]

Accuracy score for binary classification.

Methods

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

Inheritance diagram of AccuracyBinary