Plots of Classifier Performance :-
When it comes to machine learning and deep learning task there are many ways to plot the performance of a classifier.
There is  metrics to compare different estimators like accuracy, precision, recall and f1 score.All of the common classification metrics are calculated from true positive, true negative, false positive and false negative incidents. The most popular plots are definitely ROC   curve, PRC and the confusion matrix.

  