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

Table 6

Comparison results of sensitivity 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	0.0864	0.9821	0.0715	0.8476	0.9820	0.9776	0.9845
	Std	0.0028	0.0032	0.0072	0.0068	0.0032	0.0036	0.0021
	Best	0.875	1.0000	0.7500	0.875	1.0000	1.0000	1.0000
ILPD	Avg	0.7945	0.8520	0.8025	0.8768	0.9327	0.9122	0.9543
	Std	0.0094	0.0046	0.0069	0.0038	0.0029	0.0037	0.0025
	Best	0.8333	0.8750	0.8472	0.8889	0.9583	0.9444	0.9722
Diabetes	Avg	0.8356	0.8432	0.7965	0.8976	0.8898	0.8657	0.9316
	Std	0.0412	0.0142	0.0684	0.0002	0.0002	0.0053	0.0001
	Best	0.8800	0.8600	0.8600	0.9200	0.9000	0.9000	0.94
Vertebral Column	Avg	0.8256	0.9206	0.7681	0.8542	0.8321	0.8765	0.9543
	Std	0.0209	0.0051	0.0564	0.0034	0.0032	0.0026	0.0010
	Best	0.8857	0.9429	0.8286	0.8857	0.8571	0.9143	0.9714
Spambase	Avg	0.8675	0.9342	0.9125	0.9430	0.9532	0.9355	0.9785
	Std	0.0622	0.0332	0.0204	0.0031	0.0025	0.0078	0.0021
	Best	0.9596	0.9752	0.9627	0.9752	0.9783	0.9752	0.9938
QSAR Biodegradation	Avg	0.7217	0.8536	0.7621	0.8765	0.9332	0.9452	0.9720
	Std	0.0721	0.0501	0.0420	0.0028	0.0024	0.0032	0.0001
	Best	0.8630	0.8904	0.8219	0.8904	0.9589	0.9726	0.9863
Blood Transfusion	Avg	0.8575	0.8921	0.8543	0.8965	0.9329	0.9056	0.9486
	Std	0.0022	0.0002	0.0036	0.0003	0.0002	0.0004	0.0002
	Best	0.8824	0.9024	0.8764	0.9167	0.9419	0.9205	0.9535
HTRU2	Avg	0.8970	0.9432	0.9123	0.9547	0.9589	0.9546	0.9698
	Std	0.0107	0.0037	0.0068	0.0041	0.0028	0.0030	0.0026
	Best	0.9486	0.9686	0.9571	0.9714	0.9771	0.9771	0.9857
Drug Consumption: Amyl Nitrite	Avg	0.7886	0.8222	0.7986	0.8443	0.9065	0.8245	0.9124
	Std	0.0310	0.0230	0.0865	0.0020	0.0003	0.0048	0.0022
	Best	0.80	0.85	0.85	0.8667	0.9167	0.8667	0.9333
Drug Consumption: Ketamine	Avg	0.7589	0.7234	0.7308	0.7765	0.9010	0.8438	0.9216
	Std	0.0076	0.0037	0.0083	0.0045	0.0037	0.0043	0.0010
	Best	0.8030	0.7576	0.7879	0.8030	0.9242	0.8788	0.9394