Table 6 Performance evaluation metrics of eight classifiers for reduced dataset generated by proposed approach consisting of PL+ and PL- molecules based on percentage split of 66:34.
Classifiers | Sensitivity | Specificity | Accuracy | AUC | MCC |
|---|---|---|---|---|---|
Navie Bayes | 86.5 | 71.9 | 79.7 | 0.851 | 0.593 |
SMO | 73.0 | 81.3 | 76.8 | 0.771 | 0.541 |
IBK | 81.1 | 84.4 | 82.6 | 0.834 | 0.653 |
RARF | 91.9 | 87.5 | 89.9 | 0.903 | 0.796 |
PART | 78.4 | 84.4 | 81.2 | 0.890 | 0.626 |
LRip | 54.1 | 93.8 | 72.5 | 0.735 | 0.512 |
RandomForest | 81.1 | 87.5 | 84.1 | 0.904 | 0.684 |
J48 | 83.8 | 87.5 | 85.5 | 0.842 | 0.711 |