For multiclass classification you would normally choose a confusion matrix to plot the error of predicted classes against the target classes.
What is the best way to visualize errors of multilabel classifiers? As multiple classes are predicted at once a mapping of prediction against target is not always possible so confusion matrices are generelly not suitable.
My first idea is to plot a bar chart where each class has a bar for missed and one for false predictions. But is there any standard for visualizing the errors which includes more information just like a confusion matrix for multiclass problems?