Table 2 Computational results of 10-fold cross validation on Cull50 using PSSM only and PSSM + Score in neural network encoding
| Â | PSSM only | PSSM + Score | ||||
|---|---|---|---|---|---|---|
fold | Sn | Sp | Qc | Sn | Sp | Qc |
1 | 73.90 | 91.60 | 87.50 | 74.90 | 91.60 | 87.70 |
2 | 72.80 | 93.00 | 88.10 | 71.70 | 93.10 | 88.00 |
3 | 70.70 | 91.90 | 86.50 | 71.40 | 92.40 | 87.10 |
4 | 78.80 | 82.30 | 82.20 | 77.80 | 84.10 | 82.60 |
5 | 75.20 | 91.40 | 87.60 | 74.10 | 92.00 | 87.80 |
6 | 71.40 | 92.30 | 87.70 | 71.30 | 93.00 | 88.10 |
7 | 74.50 | 92.40 | 88.50 | 76.00 | 92.40 | 88.80 |
8 | 66.80 | 93.60 | 87.40 | 70.40 | 93.30 | 88.00 |
9 | 69.00 | 90.20 | 85.20 | 68.40 | 91.50 | 86.10 |
10 | 77.60 | 91.60 | 88.40 | 78.20 | 92.70 | 89.20 |
Average | 73.07 | 91.03 | 86.91 | 73.42 | 91.61 | 87.34 |