Some statistical methods for inference have been developed for the F 1 score in binary classification problems; however, they have not been extended to the problem of multi-class classification. There are three types of F 1 scores, and statistical properties of these F 1 scores have hardly ...
imblearn.metrics.macro_averaged_mean_absolute_error() raises an exception when not all classes are represented in the ground truth. Thought I'd flag this because a similar function in sklearn behaves differently to imbalanced-learn. That function is f1_score with macro averaging. Here's an exam...