Table 3.

The performance of the RP models based on the ECFP_8 fingerprint set for the training and test sets based on different tree depths

		Training set										Test set
Tree depth	Model	TP	FN	FP	TN	SE	SP	PRE1	PRE2	GA	C	TP	FN	FP	TN	SE	SP	PRE1	PRE2	GA	C
2	RP-1	209	74	60	250	0.739	0.806	0.777	0.772	0.774	0.547	48	13	12	47	0.787	0.797	0.800	0.783	0.792	0.583
3	RP-2	235	48	60	250	0.830	0.806	0.797	0.839	0.818	0.636	53	8	14	45	0.869	0.763	0.791	0.849	0.817	0.636
4	RP-3	233	50	54	256	0.823	0.826	0.812	0.837	0.825	0.649	53	8	14	45	0.869	0.763	0.791	0.849	0.817	0.636
5	RP-4	254	29	62	248	0.898	0.800	0.804	0.895	0.847	0.698	55	6	19	40	0.902	0.678	0.743	0.870	0.792	0.596
6	RP-5	255	28	53	257	0.901	0.829	0.828	0.902	0.863	0.730	55	6	17	42	0.902	0.712	0.764	0.875	0.808	0.626
7	RP-6	251	32	46	264	0.887	0.852	0.845	0.892	0.868	0.738	54	7	16	43	0.885	0.729	0.771	0.860	0.808	0.623
8	RP-7	251	32	46	264	0.887	0.852	0.845	0.892	0.868	0.738	53	8	16	43	0.869	0.729	0.768	0.843	0.800	0.604
9	RP-8	251	32	46	264	0.887	0.852	0.845	0.892	0.868	0.738	54	7	16	43	0.885	0.729	0.771	0.860	0.808	0.623
10	RP-9	251	32	46	264	0.887	0.852	0.845	0.892	0.868	0.738	54	7	16	43	0.885	0.729	0.771	0.860	0.808	0.623