From: QSAR based model for discriminating EGFR inhibitors and non-inhibitors using Random forest
Trained on | Tested on | Sensitivity | Specificity | Accuracy | MCC | ROC |
---|---|---|---|---|---|---|
EGFR10 train | EGFR10 train | 68.74 | 87.67 | 84.95 | 0.49 | 0.89 |
EGFR10 train | EGFR10 Validation | 69.89 | 86.03 | 83.66 | 0.49 | 0.89 |
Pyrimidine | Pyrimidine | 69.25 | 92.13 | 86.92 | 0.62 | 0.92 |
Pyrimidine | Quinazoline | 68.62 | 54.88 | 58.88 | 0.21 | 0.67 |
Quinazoline | Quinazoline | 68.15 | 79.63 | 76.31 | 0.45 | 0.81 |
Quinazoline | Pyrimidine | 67.86 | 64.04 | 64.91 | 0.27 | 0.74 |
EFGR10-Pyrimidine | EFGR10-Pyrimidine | 68.7 | 94.08 | 91.34 | 0.59 | 0.92 |
EFGR10-Quinazoline | EFGR10- Quinazoline | 69.66 | 96.4 | 94.04 | 0.64 | 0.95 |
EFGR10- Pyrimidine | Pyrimidine | 68.06 | 76.74 | 74.77 | 0.4 | 0.77 |
EFGR10- Quinazoline | Quinazoline | 60.31 | 76.25 | 71.66 | 0.35 | 0.72 |