Table 3.

Average AUC scores of RF, XGB, and LR models trained on CNA data, estimated using 10 runs of 5-fold cross validation

# Features	RF	XGB	LR
10	0.57	0.56	0.58
20	0.61	0.61	0.61
30	0.61	0.61	0.61
40	0.63	0.62	0.61
50	0.64	0.64	0.62
60	0.65	0.65	0.63
70	0.65	0.65	0.63
80	0.65	0.65	0.62
90	0.66	0.66	0.63
100	0.66	0.66	0.62
Max	0.66	0.66	0.63
Avg.	0.63	0.63	0.62