Prediction of Cancer Proteins by Integrating Protein Interaction, Domain Frequency, and Domain Interaction Data Using Machine Learning Algorithms

Table 6

Performance comparison by voting with the majority using the CLD feature sorted by 1.

Classifiers	ACC	SPE	SEN	1	MCC	PPV	AUC
TOP: 3	0.652	0.653	0.652	0.652	0.304	0.650	0.653
TOP: 27	0.648	0.646	0.650	0.648	0.296	0.643	0.648
TOP: 17	0.646	0.653	0.639	0.647	0.291	0.671	0.647
TOP: 25	0.646	0.647	0.648	0.647	0.296	0.643	0.648
TOP: 5	0.646	0.651	0.639	0.646	0.293	0.666	0.646
TOP: 15	0.645	0.654	0.638	0.646	0.291	0.674	0.646
TOP: 19	0.643	0.651	0.640	0.646	0.289	0.663	0.645
TOP: 23	0.644	0.648	0.645	0.646	0.294	0.648	0.647
TOP: 29	0.646	0.645	0.648	0.646	0.292	0.641	0.647
TOP: 13	0.644	0.653	0.639	0.645	0.291	0.669	0.646
TOP: 31	0.644	0.642	0.648	0.645	0.292	0.634	0.644
TOP: 7	0.643	0.650	0.639	0.644	0.288	0.663	0.644
TOP: 9	0.643	0.650	0.639	0.644	0.290	0.662	0.644
TOP: 11	0.644	0.651	0.639	0.644	0.290	0.665	0.644
TOP: 21	0.642	0.649	0.642	0.644	0.289	0.659	0.645
TOP: 39	0.644	0.638	0.648	0.644	0.288	0.627	0.644
TOP: 37	0.642	0.635	0.649	0.643	0.285	0.620	0.644
TOP: 35	0.641	0.635	0.648	0.642	0.286	0.619	0.642
TOP: 33	0.641	0.635	0.648	0.641	0.285	0.620	0.642