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

Table 4

Comparison results of classification accuracy 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	0.8042	0.7538	0.7481	0.9023	0.9294	0.8209	0.8666
	Std	0.062	0.0955	0.0609	0.0667	0.0531	0.0670	0.0772
	Best	0.9189	0.8649	0.8378	0.9459	0.9730	0.8919	0.9189
ILPD	Avg	0.6991	0.7009	0.7006	0.7000	0.7141	0.7018	0.7196
	Std	0.0047	0.0000	0.0016	0.0021	0.0201	0.0208	0.0302
	Best	0.7009	0.7009	0.7009	0.7094	0.7607	0.7265	0.7863
Diabetes	Avg	0.7416	0.7246	0.6647	0.7568	0.7576	0.7563	0.7697
	Std	0.0317	0.0296	0.0615	0.0263	0.0285	0.0267	0.0255
	Best	0.8039	0.7516	0.7647	0.7843	0.7778	0.7974	0.8301
Vertebral Column	Avg	0.8376	0.8504	0.7954	0.8453	0.8631	0.8317	0.8851
	Std	0.0632	0.0472	0.0639	0.0389	0.0353	0.0467	0.0365
	Best	0.8871	0.9032	0.8387	0.8710	0.8710	0.9032	0.9355
Spambase	Avg	0.7639	0.7491	0.8202	0.8432	0.8564	0.8465	0.9176
	Std	0.0295	0.0409	0.0279	0.0327	0.0239	0.0214	0.0176
	Best	0.7935	0.8152	0.8533	0.8761	0.9120	0.9022	0.9370
QSAR Biodegradation	Avg	0.7166	0.7329	0.7216	0.7564	0.8656	0.8049	0.8498
	Std	0.0698	0.0777	0.0563	0.0538	0.0302	0.0336	0.0422
	Best	0.8104	0.8246	0.7867	0.8104	0.9052	0.8483	0.8957
Blood Transfusion	Avg	0.7613	0.7800	0.7736	0.7976	0.8345	0.8342	0.8479
	Std	0.03503	0.00526	0.0210	0.005	0.0045	0.0059	0.0039
	Best	0.7800	0.7867	0.7933	0.8133	0.8533	0.8400	0.8667
HTRU2	Avg	0.9454	0.9678	0.9747	0.9656	0.9786	0.9799	0.9805
	Std	0.0225	0.0037	0.0015	0.0014	0.0022	0.0012	0.0010
	Best	0.9701	0.9763	0.9779	0.9712	0.9810	0.9816	0.9827
Drug Consumption: Amyl Nitrite	Avg	0.8298	0.8363	0.8359	0.8168	0.8242	0.8198	0.8356
	Std	0.0219	0.0013	0.0087	0.0202	0.0410	0.0113	0.0012
	Best	0.8435	0.8488	0.8462	0.8329	0.8541	0.8355	0.8462
Drug Consumption: Ketamine	Avg	0.8243	0.8216	0.8221	0.8032	0.8268	0.8111	0.8204
	Std	0.0162	0.0121	0.0129	0.0264	0.0301	0.0119	0.0116
	Best	0.8462	0.8435	0.8462	0.8276	0.8541	0.8276	0.8382