Implementing multilabel confusion matrix - Issue #3452

I could imagine something like `[n_classes, 2, n_classes]` in which `[a, b, c]` indicates when `a` was b (t/f) in the ground truth, how many times was `c` predicted? Then true negatives are `n_samples - [a, False, a]`.