Hybrid Ensemble Pruning Using Coevolution Binary Glowworm Swarm Optimization and Reduce-Error

Table 5

Classification precisions won by other methods with 150 ELMs.

Datasets	MOAG	RREP	DMEP	EPSCG	DASEP	MDOEP	RCOA	PEAD
Heart	71.63	81.40	78.51	76.12	78.85	77.52	77.38	76.54
Cleveland	53.26	56.24	56.60	54.81	55.84	55.76	56.92	57.88
Column	83.43	91.43	88.76	86.94	86.27	85.82	86.39	85.98
Ecoli	87.59	89.60	89.83	87.14	89.96	86.97	88.46	89.22
Bupa	70.45	79.61	77.30	75.15	76.64	77.97	76.11	75.26
Wholesale	87.69	92.05	91.24	87.48	89.82	87.76	88.52	87.50
Forest	90.50	92.80	92.83	90.45	94.94	94.94	94.82	93.75
Balance	91.96	93.00	93.32	91.72	93.20	91.40	91.68	92.44
Diabetes	69.37	75.89	74.56	72.52	72.66	71.38	71.62	70.27
Vehicle	60.32	71.08	67.57	66.16	66.59	67.63	68.86	65.27
Tic-tac-toe	92.38	96.66	95.41	96.66	94.29	96.66	95.17	94.92
German	75.85	81.50	81.15	77.30	78.60	78.70	78.00	77.15
QSAR	84.48	90.29	88.97	86.58	87.50	88.36	87.33	86.52
Diabetic-r	72.46	81.48	78.79	77.24	77.80	79.99	78.08	76.34
Phishing	85.74	87.91	89.06	85.11	88.03	86.52	86.77	87.65
CMC	55.87	63.31	61.44	58.95	59.15	58.12	58.06	57.60
Yeast	59.46	62.11	62.32	58.60	60.99	57.99	58.98	59.63
Wineq-r	57.74	63.80	62.80	57.08	60.86	59.68	59.09	57.82
Car	92.42	94.65	94.71	92.13	93.96	91.47	93.79	93.13
CTG	81.21	87.54	86.90	82.54	85.21	87.54	86.39	87.54
Segment	85.13	89.03	87.49	84.92	86.30	86.10	85.63	84.13
Abalone	58.19	60.33	60.13	57.33	58.93	59.20	60.50	59.96
Spambase	76.31	84.15	82.24	78.83	79.45	81.34	79.10	79.91
Wineq-w	47.89	51.57	51.65	48.92	49.94	49.48	50.40	49.52
Waveform	87.43	90.26	89.36	87.28	88.17	89.34	88.67	88.29
+/ = /−	0/0/25	2/2/20	1/0/24	0/1/24	1/1/23	0/3/22	1/0/24	0/1/24