Graphs for representing performance of machine learning classifiers
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.