GGA-MLP: A Greedy Genetic Algorithm to Optimize Weights and Biases in Multilayer Perceptron

Table 5

Comparison results of specificity of MLP trained using ABC, WOA, MMPSO, MVO, GOA, GA, and GGA-MLP.

Dataset\algorithm		ABC [27]	WOA [33]	MMPSO [28]	MVO [34]	GOA [35]	GA [21]	GGA-MLP
Parkinson	Avg	0.7914	0.6734	0.7583	0.8460	0.8126	0.7865	0.7914
	Std	0.0805	0.0845	0.0632	0.0668	0.0798	0.0521	0.0601
	Best	0.9310	0.8276	0.8621	0.9655	0.9655	0.8621	0.8966
ILPD	Avg	0.4570	0.4222	0.4565	0.4126	0.4218	0.3546	0.4788
	Std	0.0064	0.0000	0.0031	0.0040	0.0083	0.0092	0.001
	Best	0.4889	0.4222	0.4667	0.4222	0.4444	0.3778	0.4889
Diabetes	Avg	0.6934	0.6521	0.5987	0.6965	0.7012	0.7051	0.7124
	Std	0.0621	0.0264	0.0743	0.0086	0.0043	0.0218	0.0723
	Best	0.7670	0.6990	0.7184	0.7184	0.7184	0.7476	0.7767
Vertebral Column	Avg	0.8026	0.8126	0.7962	0.8264	0.8556	0.8432	0.8643
	Std	0.0756	0.0316	0.0528	0.0254	0.0404	0.031	0.0264
	Best	0.8889	0.8519	0.8519	0.8519	0.8889	0.8889	0.8889
Spambase	Avg	0.6653	0.6521	0.7587	0.7865	0.7917	0.7664	0.8942
	Std	0.0085	0.0321	0.0262	0.0322	0.0853	0.0912	0.0010
	Best	0.7040	0.7291	0.7943	0.8227	0.8763	0.8629	0.9064
QSAR Biodegradation	Avg	0.6514	0.6954	0.7256	0.7381	0.8216	0.7021	0.8126
	Std	0.0954	0.0732	0.0063	0.0057	0.0156	0.0378	0.0054
	Best	0.7826	0.7899	0.7681	0.7681	0.8768	0.7826	0.8478
Blood Transfusion	Avg	0.7265	0.7355	0.7543	0.7632	0.8123	0.8011	0.8268
	Std	0.0765	0.0032	0.0082	0.0028	0.0014	0.0032	0.0021
	Best	0.7653	0.7551	0.7959	0.7857	0.8265	0.8265	0.8367
HTRU2	Avg	0.9452	0.9542	0.9702	0.9678	0.9721	0.9724	0.9742
	Std	0.0031	0.0026	0.0016	0.0015	0.0018	0.0015	0.0014
	Best	0.9724	0.9771	0.9802	0.9712	0.9814	0.9820	0.9824
Drug Consumption: Amyl Nitrite	Avg	0.8165	0.8321	0.8256	0.7982	0.7920	0.7814	0.7925
	Std	0.0076	0.0021	0.0062	0.0075	0.0168	0.0062	0.0047
	Best	0.8517	0.8486	0.8454	0.8265	0.8423	0.8297	0.8297
Drug Consumption: Ketamine	Avg	0.8945	0.9207	0.9112	0.8765	0.8965	0.8643	0.8621
	Std	0.0322	0.0051	0.0443	0.0556	0.0065	0.0234	0.0186
	Best	0.9366	0.9437	0.9401	0.9120	0.9190	0.8944	0.8944