Graphs for representing performance of machine learning classifiers Can any please guide about how many types of the graph other than ROC can be plotted to represent the performance of the machine learning classifier?
The basics are:

Precision-Recall Curve
ROC Curve

Then, you can plot other features of the model to get insights about generalization, learning process, overfitting/underfitting, like accuracy vs epochs, loss versus epochs, to name a few.