Table 2. Prediction the database on Pupdb 10-fold with AAIndex BLOSUM62 PCA.
Subset | Sn(%) | Sp(%) | Acc(%) | Mcc | AUC |
---|---|---|---|---|---|
1 | 99.81 | 80.48 | 90.15 | 0.8183 | 0.8127 |
2 | 95.57 | 80.11 | 87.84 | 0.7660 | 0.8157 |
3 | 99.27 | 76.79 | 88.03 | 0.7806 | 0.8287 |
4 | 99.72 | 83.54 | 91.63 | 0.8437 | 0.7903 |
5 | 99.34 | 81.59 | 90.46 | 0.8224 | 0.8107 |
6 | 99.43 | 85.75 | 92.59 | 0.8599 | 0.8102 |
7 | 99.52 | 77.53 | 88.52 | 0.7898 | 0.8167 |
8 | 99.62 | 76.42 | 88.02 | 0.7817 | 0.8397 |
9 | 99.75 | 80.47 | 90.11 | 0.8175 | 0.8576 |
10 | 87.57 | 80.06 | 83.82 | 0.6782 | 0.8162 |
Average | 97.96 | 80.28 | 89.12 | 0.7949 | 0.8199 |
The first column records sensitivity of these ten subsets of the Pupdb. The second column records the specialty of such subsets. And the 3th and 4th column record the accuracy and the Markovian correlation coefficient, AUC of these data, respectively.