Table 6.

Precision, recall, and f1-score comparative analysis for simulations with 60 neurons.

		Diabetes	Disease	Iris	Wine	Wine Quality	Satellite	Shuttle
ELM-IWO	accuracy (%)	77.49	89.94	100.00	100.00	62.92	83.59	94.64
	precision	0.747	0.899	1.000	1.000	0.285	0.826	0.538
	recall	0.750	0.900	1.000	1.000	0.296	0.778	0.422
	f1-score	0.748	0.899	1.000	1.000	0.290	0.747	0.427
ELM-WOA	accuracy (%)	79.22	88.96	100.00	100.00	62.29	83.34	94.45
	precision	0.768	0.890	1.000	1.000	0.277	0.885	0.377
	recall	0.756	0.889	1.000	1.000	0.253	0.770	0.384
	f1-score	0.761	0.889	1.000	1.000	0.239	0.749	0.380
ELM-HHO	accuracy (%)	79.22	90.26	100.00	100.00	63.54	83.34	93.43
	precision	0.769	0.902	1.000	1.000	0.277	0.850	0.366
	recall	0.753	0.902	1.000	1.000	0.271	0.771	0.374
	f1-score	0.760	0.902	1.000	1.000	0.265	0.749	0.370
ELM-BA	accuracy (%)	79.65	88.96	100.00	100.00	63.54	83.39	90.61
	precision	0.773	0.890	1.000	1.000	0.304	0.846	0.231
	recall	0.760	0.889	1.000	1.000	0.297	0.772	0.260
	f1-score	0.766	0.889	1.000	1.000	0.296	0.748	0.244
ELM-SCA	accuracy (%)	79.22	89.61	100.00	100.00	62.92	83.84	90.83
	precision	0.767	0.896	1.000	1.000	0.285	0.831	0.400
	recall	0.763	0.896	1.000	1.000	0.296	0.787	0.325
	f1-score	0.765	0.896	1.000	1.000	0.290	0.781	0.353
ELM-FA	accuracy (%)	78.79	89.61	100.00	100.00	63.33	82.64	91.59
	precision	0.768	0.898	1.000	1.000	0.320	0.794	0.353
	recall	0.737	0.895	1.000	1.000	0.282	0.759	0.311
	f1-score	0.748	0.896	1.000	1.000	0.284	0.742	0.308
ELM-ABC	accuracy (%)	79.22	89.94	100.00	100.00	62.71	83.54	96.77
	precision	0.770	0.900	1.000	1.000	0.263	0.815	0.410
	recall	0.750	0.898	1.000	1.000	0.257	0.778	0.410
	f1-score	0.758	0.899	1.000	1.000	0.246	0.756	0.410
ELM-MS-AFS	accuracy (%)	82.68	94.16	100.00	100.00	68.13	86.89	97.68
	precision	0.805	0.942	1.000	1.000	0.550	0.866	0.412
	recall	0.805	0.942	1.000	1.000	0.357	0.829	0.420
	f1-score	0.805	0.942	1.000	1.000	0.386	0.835	0.416