Table 5 Performance evaluation metrics of eight classifiers for original dataset consisting of PL+ and PL- molecules based on percentage split of 66:34.
Classifiers | Sensitivity | Specificity | Accuracy | AUC | MCC |
|---|---|---|---|---|---|
Navie Bayes | 70.3 | 84.4 | 76.8 | 0.831 | 0.548 |
SMO | 70.3 | 87.5 | 78.3 | 0.789 | 0.581 |
IBK | 75.7 | 84.4 | 79.7 | 0.789 | 0.599 |
RARF | 78.4 | 81.3 | 79.7 | 0.893 | 0.595 |
PART | 56.8 | 81.3 | 68.1 | 0.700 | 0.388 |
JRip | 78.4 | 65.6 | 72.5 | 0.733 | 0.445 |
RandomForest | 75.7 | 81.3 | 78.3 | 0.868 | 0.568 |
J48 | 70.3 | 71.9 | 71.0 | 0.735 | 0.420 |