For multi-class classification problems, it's more or less standard practice to compute and display a confusion matrix that shows where incorrect predictions have been made.

However, for multi-class classification problems you usually also want to know the accuracy of the model for each class label. The easiest way to do this is to use the scikit confusion matrix: ...