Table 6 Classification accuracy and RMSE... | Emerald Publishing

Table 6

Classification accuracy and RMSE values

Network	Sum of square error (training) (MSCN)	Sum of square error (testing) (MSCN)
ANN1	0.789	0.698
ANN2	0.628	0.708
ANN3	0.708	0.651
ANN4	0.716	0.608
ANN5	0.703	0.598
ANN6	0.697	0.701
ANN7	0.716	0.607
ANN8	0.698	0.769
ANN9	0.678	0.718
ANN10	0.618	0.742
Mean	0.695	0.606
Std Dev	0.047924594	0.060402355

Network	Sum of square error (training) (MSCN)	Sum of square error (testing) (MSCN)
ANN1	0.789	0.698
ANN2	0.628	0.708
ANN3	0.708	0.651
ANN4	0.716	0.608
ANN5	0.703	0.598
ANN6	0.697	0.701
ANN7	0.716	0.607
ANN8	0.698	0.769
ANN9	0.678	0.718
ANN10	0.618	0.742
Mean	0.695	0.606
Std Dev	0.047924594	0.060402355

Source(s): SPSS software output