TABLE 4.
Rank | Layers | Nodesa | Q3 (%) | Sov (%) |
---|---|---|---|---|
1 | 4 | 600 | 80.24 | 73.07 |
2 | 5 | 400 | 79.96 | 72.67 |
3 | 3 | 500 | 80.00 | 72.37 |
4 | 4 | 300 | 79.84 | 72.48 |
5 | 6 | 300 | 79.82 | 72.50 |
6 | 3 | 400 | 79.89 | 72.20 |
7 | 6 | 400 | 79.87 | 72.15 |
8 | 6 | 200 | 79.70 | 72.24 |
9 | 5 | 500 | 79.42 | 71.03 |
10 | 4 | 400 | 79.35 | 70.83 |
11 | 4 | 500 | 79.39 | 70.31 |
12 | 3 | 600 | 79.07 | 70.06 |
Scores show the average accuracy of deep networks of the second tier, trained using indicted architecture parameters and evaluated using the test data set of 195 proteins, 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.