Table 5 Performance comparison of different classifiers after applying data preprocessing techniques.
From: Harnessing machine learning to find synergistic combinations for FDA-approved cancer drugs
Method | Accuracy | Precision | Recall | F1-score |
|---|---|---|---|---|
Naïve | 98.80 | 96.667 | 96.11 | 96.363 |
RF | 98.80 | 95.00 | 91.281 | 86.266 |
KNN | 99.60 | 95.0 | 94.80 | 94.897 |
LR | 94.80 | 86.167 | 83.998 | 84.948 |
