. Author manuscript; available in PMC: 2015 Mar 4.

Published in final edited form as: IEEE/ACM Trans Comput Biol Bioinform. 2014 Aug 7;12(1):103–112. doi: 10.1109/TCBB.2014.2343960

TABLE 3.

Performance of Refined Architecture Variation

Rank	Layers	Nodes^a	Q₃ (%)	Sov (%)
1	4	500	79.17	72.85
2	4	500	79.23	72.71
3	4	600	79.02	72.24
4	4	450	78.93	72.00
5	4	400	78.97	71.90
6	6	500	79.17	71.78
7	6	600	79.09	71.78
8	3	400	79.09	71.72
9	4	300	78.91	72.11
10	3	500	78.97	71.75
11	3	450	78.78	71.54
12	6	300	78.71	71.65

Scores show the average accuracy of deep networks trained using indicted architecture parameters and evaluated using the test data set of 195 proteins and listed from highest to lowest ranked score.

Nodes refers to the size of the majority of hidden layers, as node amount is not always consistent between layers.