Table 2. A comparison of eight features with different algorithms.
| % | ACC | MCC | SN | SP |
|---|---|---|---|---|
| Algorithm | RF SVM KNN | RF SVM KNN | RF SVM KNN | RF SVM KNN |
| GO | 82 81 80 | 64 62 60 | 83 79 79 | 81 83 81 |
| Pfam | 87 85 85 | 75 70 70 | 83 80 83 | 92 90 87 |
| Smart | 73 72 70 | 50 50 42 | 50 49 60 | 95 95 81 |
| PROSITE | 79 78 76 | 60 59 55 | 64 61 67 | 94 94 86 |
| SUPFAM | 75 73 74 | 52 48 50 | 60 56 60 | 90 90 88 |
| InterPro | 88 83 83 | 77 67 67 | 86 79 81 | 91 88 86 |
| PRINTS | 70 70 69 | 49 49 45 | 41 41 43 | 99 99 95 |
| SL* | 80 78 77 | 59 57 54 | 76 78 76 | 83 79 77 |
Note: The abbreviations in the table are: Accuracy (ACC), Matthews Correlation Coefficient (MCC), Sensitivity (SN) and Specificity (SP). Three algorithms, Random Forest (RF), Support Vector Machine (SVM) and KNN (K-Nearest Neighbor) were applied. * indicates Subcellular Localization (SL).