Table 17.

Performance comparison of our new method vs. CMIM for the imbalanced S. cerevisiae data set when identical number of features are selected.

	AUC		Precision		Recall		F1		MCC
N4	0.744	0.761	0.782	0.762	0.327	0.344	0.461	0.474	0.439	0.442
N5	0.727	0.735	0.741	0.738	0.387	0.371	0.509	0.494	0.461	0.449
N6	0.730	0.757	0.752	0.749	0.395	0.359	0.518	0.485	0.472	0.446
N7	0.761	0.779	0.767	0.763	0.386 >	0.339	0.513 >	0.470	0.473 >	0.439
N8	0.772	0.779	0.755	0.754	0.371 >	0.350	0.498 >	0.478	0.457 >	0.442
N9	0.782	0.776	0.749	0.750	0.382 >	0.357	0.506 >	0.483	0.462 >	0.445
N10	0.781	0.782	0.751	0.751	0.399 >	0.353	0.521 >	0.480	0.474 >	0.443
N11	0.786	0.786	0.752	0.752	0.402 >	0.363	0.524 >	0.490	0.476 >	0.450
N12	0.798	0.799	0.759	0.758	0.409 >	0.354	0.532 >	0.483	0.485 >	0.447
N13	0.789	0.797	0.748	0.750	0.433 >	0.360	0.549 >	0.487	0.495 >	0.447
N14	0.802 >	0.801	0.749	0.749	0.397 >	0.348	0.519 >	0.475	0.471 >	0.438
N15	0.801 >	0.797	0.763	0.760	0.406 >	0.330	0.530 >	0.460	0.485 >	0.430
N16	0.814 >	0.796	0.762	0.759	0.401 >	0.338	0.525 >	0.468	0.480 >	0.436
N17	0.814 >	0.795	0.761	0.756	0.407 >	0.339	0.530 >	0.469	0.484 >	0.435
N18	0.811	0.799	0.751	0.756	0.411 >	0.338	0.531 >	0.467	0.482 >	0.435