Table 5.

Performances of the using single layers and the using different layer concatenations.

	TPR	FPR	TNR	FNR
1	0.416	0.612	0.388	0.584
2	0.479	0.596	0.404	0.521
3	0.514	0.504	0.496	0.486
4	0.659	0.365	0.635	0.341
5	0.897	0.276	0.724	0.103
3 & 5	0.935	0.185	0.815	0.065
4 & 5	0.910	0.205	0.795	0.090
2 & 5	0.901	0.265	0.735	0.099
1 & 5	0.872	0.277	0.723	0.128
3 & 4	0.691	0.329	0.671	0.309
2 & 4	0.641	0.410	0.590	0.359
2 & 3	0.512	0.509	0.491	0.488
1 & 3	0.462	0.558	0.442	0.538
1 & 2	0.407	0.619	0.381	0.593

The numbers in first column represent the convolutional layers. ‘&’ represents concatenation.