There is a term named Confusion Matrix to measure the performance of a classification matrix.
AUC-ROC is another performance matrix derived from confusion matrix. It is used to measure multi-class classification model of various threshold settings. ROC shows the the probility curves and AUC shows the the area of the classes or in other words, how far separate the classes are.