Table 4 Root mean square evaluation... | Emerald Publishing

Table 4

Root mean square evaluation (RMSE)

	Training data				Testing data
NN	N	SSE	SSE/N	RMSE	N	SSE	SSE/N	RMSE
(i)	318	5.327	0.016752	0.129428	46	0.19	0.00413	0.064268
(ii)	330	7.049	0.021361	0.146153	34	0.049	0.001441	0.037963
(iii)	322	0.973	0.003022	0.054970	42	0.973	0.023167	0.152206
(iv)	328	6.311	0.019241	0.138711	36	0.549	0.01525	0.123491
(v)	320	6.982	0.021819	0.147712	44	0.467	0.010614	0.103023
(vi)	327	5.633	0.017226	0.131249	37	0.067	0.001811	0.042554
(vii)	327	7.516	0.022985	0.151607	37	0.773	0.020892	0.14454
(viii)	323	5.716	0.017697	0.133029	41	0.869	0.021195	0.145585
(ix)	325	8.193	0.025209	0.158774	39	0.006	0.000154	0.012403
(x)	318	3.759	0.011821	0.108723	46	0.476	0.010348	0.101724

	Training data				Testing data
NN	N	SSE	SSE/N	RMSE	N	SSE	SSE/N	RMSE
(i)	318	5.327	0.016752	0.129428	46	0.19	0.00413	0.064268
(ii)	330	7.049	0.021361	0.146153	34	0.049	0.001441	0.037963
(iii)	322	0.973	0.003022	0.054970	42	0.973	0.023167	0.152206
(iv)	328	6.311	0.019241	0.138711	36	0.549	0.01525	0.123491
(v)	320	6.982	0.021819	0.147712	44	0.467	0.010614	0.103023
(vi)	327	5.633	0.017226	0.131249	37	0.067	0.001811	0.042554
(vii)	327	7.516	0.022985	0.151607	37	0.773	0.020892	0.14454
(viii)	323	5.716	0.017697	0.133029	41	0.869	0.021195	0.145585
(ix)	325	8.193	0.025209	0.158774	39	0.006	0.000154	0.012403
(x)	318	3.759	0.011821	0.108723	46	0.476	0.010348	0.101724

Note(s): NN = Neural network. N = Sample size. SSE = Sum of squared error. RMSE = Root mean square error

Source(s): Authors’ own compilation