AUC score for binary classification.
problem_types= [<ProblemTypes.BINARY: 'binary'>, <ProblemTypes.TIME_SERIES_BINARY: 'time series binary'>]¶
Calculate the percent difference between scores.
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.