Table 2.

The relative performance metrics and statistics of various machine learning models in classification of cancer driver mutations with the top 8 features.

	Boosted trees	SVM	Random forest
Accuracy	0.896	0.890	0.896
F1 score	0.900	0.890	0.900
Precision	0.900	0.890	0.900
Recall	0.900	0.890	0.900
True positive rate	0.850	0.949	0.857
False positive rate	0.112	0.797	0.123
True negative rate	0.115	0.016	0.107
False negative rate	0.913	0.748	0.907