[Retracted] Training a Feedforward Neural Network Using Hybrid Gravitational Search Algorithm with Dynamic Multiswarm Particle Swarm Optimization

Table 4

Different algorithms’ average performance in percent of the given features.

Dataset		FNNGSA	FNNGG-GSA	FNNPSOGSA	FNNGSADMSPSO
Glass	Avg.	0.741	0.749	0.748	0.767
	Best	0.753	0.764	0.758	0.785
	Std.	0.0169	0.0059	0.0089	0.0086
Vowel	Avg.	0.944	0.965	0.973	0.981
	Best	0.953	0.984	0.989	0.992
	Std.	0.0045	0.0072	0.0081	0.0056
Wine	Avg.	0.917	0.961	0.977	0.961
	Best	0.933	0.973	0.983	0.983
	Std.	0.0127	0.0085	0.0034	0.0066
Yeast	Avg.	49.17	0.501	50.23	53.11
	Best	0.933	0.513	0.518	0.552
	Std.	0.0137	0.0114	0.0126	0.0094
Sonar	Avg.	0.922	0.943	0.932	0.961
	Best	0.945	0.958	0.941	0.973
	Std.	0.0062	0.0093	0.0095	0.0028
Heart	Avg.	0.748	0.777	0.753	0.763
	Best	0.753	0.789	0.775	0.771
	Std.	0.0145	0.0071	0.0038	0.0076
Wisconsin breast cancer	Avg.	0.959	0.967	0.971	0.988
	Best	0.961	0.971	0.985	0.992
	Std.	0.0021	0.0139	0.0048	0.0017
Colon cancer	Avg.	0.819	0.839	0.834	0.845
	Best	0.836	0.845	0.851	0.859
	Std.	0.0163	0.0062	0.0034	0.0074
Shuttle	Avg.	0.907	0.916	0.923	0.931
	Best	0.913	0.923	0.935	0.954
	Std.	0.0367	0.0137	0.0085	0.0073
Lymphoma	Avg.	0.799	0.817	0.827	0.814
	Best	0.814	0.825	0.844	0.826
	Std.	0.0183	0.0045	0.0067	0.0034
Iris	Avg.	0.921	0.941	0.957	0.984
	Best	0.945	0.963	0.969	0.994
	Std.	0.0043	0.0061	0.0092	0.0019
Lung cancer	Avg.	0.447	0.469	0.446	0.479
	Best	0.467	0.479	0.468	0.486
	Std.	0.0032	0.0056	0.0123	0.0041
Hepatitis	Avg.	0.804	0.815	0.807	0.823
	Best	0.828	0.829	0.821	0.835
	Std.	0.0149	0.0025	0.0076	0.0093
Dermatology	Avg.	0.944	0.952	0.947	0.938
	Best	0.956	0.967	0.951	0.946
	Std.	0.0154	0.0061	0.0152	0.0153
Zoo	Avg.	0.807	0.847	0.859	0.864
	Best	0.824	0.853	0.864	0.882
	Std.	0.0029	0.0042	0.0052	0.0073
Abalone	Avg.	0.242	0.248	0.213	0.249
	Best	0.246	0.249	0.236	0.25
	Std.	0.0578	0.0731	0.0853	0.0351