evalml.objectives.
BalancedAccuracyBinary
Balanced 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.
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.