Mean and mean_weighted measures are not computed

For multi-class classification tasks, measures such mean_weighted_area_under_roc_curve, mean_precision, and mean_weighted_precision are not computed. Instead, area_under_roc_curve and precision are already weighted by class size. This is inconsistent with the evaluation measure descriptions (https://www.openml.org/search?type=measure) and also means that you cannot actually choose between e.g. weighted and unweighted precision. Is this intentional?

Start by tracing the multi-class evaluation code that computes area_under_roc_curve and precision, then compare its behavior with the named mean and mean_weighted measures and the linked evaluation-measure descriptions. Done means determining whether the measures should be computed separately and documenting or correcting the behavior so weighted and unweighted precision can be distinguished.