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

Table 2

Performance comparison by voting with the majority sorted by 1 value.

Classifiers	ACC	SPE	SEN	1	MCC	PPV	AUC
TOP: 23	0.774	0.855	0.721	0.786	0.562	0.890	0.787
TOP: 11	0.781	0.829	0.744	0.785	0.569	0.855	0.787
TOP: 13	0.781	0.827	0.746	0.785	0.567	0.851	0.786
TOP: 9	0.783	0.820	0.751	0.784	0.568	0.844	0.786
TOP: 19	0.776	0.841	0.734	0.784	0.566	0.872	0.787
TOP: 21	0.775	0.856	0.723	0.784	0.564	0.889	0.789
TOP: 25	0.775	0.855	0.723	0.784	0.562	0.888	0.789
TOP: 27	0.774	0.847	0.727	0.784	0.562	0.879	0.787
TOP: 17	0.779	0.826	0.742	0.783	0.565	0.852	0.784
TOP: 7	0.780	0.819	0.748	0.782	0.563	0.840	0.784
TOP: 15	0.779	0.824	0.742	0.782	0.564	0.852	0.785
TOP: 29	0.773	0.836	0.730	0.780	0.556	0.867	0.783
TOP: 3	0.777	0.811	0.749	0.779	0.558	0.831	0.780
TOP: 5	0.776	0.811	0.748	0.779	0.556	0.830	0.780
TOP: 31	0.775	0.827	0.738	0.777	0.556	0.853	0.783
TOP: 33	0.774	0.819	0.738	0.776	0.552	0.847	0.778
TOP: 35	0.771	0.811	0.738	0.773	0.545	0.837	0.775
TOP: 37	0.768	0.802	0.739	0.770	0.540	0.826	0.772
TOP: 39	0.768	0.802	0.739	0.770	0.541	0.826	0.771