Confusion matrices for multilabel classification

[BoltzmannBrain]

The confusion matrix (or now matrices) should reflect errors where actual and predicted labels are e.g. [2, 3, 7] and [3, 4], respectively; this example highlights mismatches between vector size and indices, but not necessarily incorrect classification (i.e. label 3).

The CM code is currently in the classification model base class.