FeatureSelect: a software for feature selection based on machine learning approaches

BMC Bioinformatics

Table 7 Summary of results for all regression datasets

AL	NOF	ET	ER	ER_CI_1	ER_CI_2	ER_P	ER_TS	CR	CR_STD	CR_CI_1	CR_CI_2	CR_P	CR_TS
WCC	12.5	107.5	0.033	0.030	0.033	0.000	1.3E+ 15	0.65	0.020	0.615	0.640	0.000	2.5E+ 14
LCA	10.25	124	0.030	0.030	0.033	0.000	1274.13	0.65	0.005	0.610	0.633	0.000	916.1775
GA	14.5	53	0.033	0.035	0.035	0.000	818.640	0.57	0.015	0.515	0.598	0.001	212.5
PSO	14.00	50.5	0.033	0.033	0.033	0.000	435.880	0.56	0.045	0.520	0.583	0.001	225.3125
ACO	14.00	128.25	0.033	0.035	0.035	0.000	290.915	0.57	0.050	0.473	0.570	0.003	125.4075
ICA	13.50	53	0.033	0.035	0.035	0.000	813.673	0.60	0.005	0.578	0.588	0.000	488.6925
LA	12.50	69	0.030	0.028	0.030	0.000	565.238	0.65	0.015	0.598	0.635	0.000	379.07
HTS	12.00	70.5	0.033	0.035	0.038	0.000	406.563	0.57	0.043	0.518	0.573	0.001	145.995
FOA	9.50	136.75	0.030	0.030	0.035	0.003	403.343	0.63	0.073	0.488	0.640	0.021	276.025
DSOS	9.00	105.5	0.033	0.035	0.038	0.000	325.99	0.55	0.045	0.478	0.538	0.003	213.69
CUK	10.50	124.5	0.033	0.033	0.033	0.000	998.68	0.60	0.010	0.555	0.590	0.001	662.7475

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