Table 3:

Training accuracy (Tr_Acc) and Testing accuracy (Ts_Acc) for ELM, TLBO-ELM, Jaya-ELM and CJaya-ELM.

NH	ELM		TLBO-ELM		Jaya-ELM		CJaya-ELM
	Tr_Acc	Ts_Acc	Tr_Acc	Ts_Acc	Tr_Acc	Ts_Acc	Tr_Acc	Ts_Acc
10	0.8794	0.8668	0.9637	0.9325	0.9641	0.9473	0.9701	0.9483
20	0.8892	0.8721	0.9629	0.9385	0.9707	0.9467	0.9727	0.9457
30	0.8990	0.8719	0.9735	0.9402	0.9705	0.9460	0.9715	0.9471
40	0.9049	0.8683	0.9741	0.9465	0.9756	0.9483	0.9736	0.9495
50	0.9107	0.8680	0.9719	0.9480	0.9766	0.9473	0.9783	0.9496
60	0.9148	0.8676	0.9753	0.9475	0.9790	0.9480	0.9791	0.9498
70	0.9198	0.8596	0.9769	0.9440	0.9784	0.9491	0.9793	0.9502
80	0.9248	0.8626	0.9763	0.9395	0.9806	0.9480	0.9815	0.9496
90	0.9297	0.8606	0.9761	0.9360	0.9810	0.9447	0.9812	0.9487
100	0.9254	0.8705	0.9793	0.9435	0.9826	0.9442	0.9843	0.9494
110	0.9318	0.8747	0.9814	0.9495	0.9850	0.9498	0.9862	0.9517
120	0.9334	0.8731	0.9839	0.9459	0.9888	0.9463	0.9889	0.9536
130	0.9407	0.8840	0.9859	0.9515	0.9868	0.9501	0.9872	0.9551
140	0.9432	0.8825	0.9891	0.9470	0.9902	0.9513	0.9912	0.9562
150	0.9508	0.8880	0.9894	0.9495	0.9918	0.9487	0.9918	0.9581
160	0.9547	0.8798	0.9923	0.9518	0.9948	0.9552	0.9953	0.9587
170	0.9586	0.8910	0.9941	0.9525	0.9952	0.9547	0.9969	0.9592
180	0.9621	0.8936	0.9963	0.9575	0.9966	0.9581	0.9971	0.9619
190	0.9625	0.8978	0.9969	0.9530	0.9970	0.9567	0.9987	0.9595
200	0.9638	0.9045	0.9983	0.9515	0.9994	0.9547	0.9996	0.9617
210	0.9664	0.9068	0.9980	0.9580	0.9998	0.9593	0.9998	0.9633
220	0.9714	0.9161	0.9993	0.9591	0.9998	0.9603	1	0.9627
230	0.9723	0.9171	1	0.9570	1	0.9627	1	0.9687
240	0.9732	0.9189	1	0.9585	1	0.9633	1	0.9643
250	0.9749	0.9196	1	0.9565	1	0.9647	1	0.9658
260	0.9768	0.9214	1	0.9612	1	0.9680	1	0.9679
270	0.9783	0.9198	1	0.9654	1	0.9663	1	0.9673
280	0.9798	0.9260	1	0.9625	1	0.9662	1	0.9652
290	0.9813	0.9289	1	0.9660	1	0.9666	1	0.9681
300	0.9865	0.9302	1	0.9645	1	0.9667	1	0.9678

Bold values are the highest values.