From: DeepEP: a deep learning framework for identifying essential proteins
Ratios (Essential VS non-essential) | Accuracy | Precision | Recall | F-measure | AUC |
---|---|---|---|---|---|
1: 1 | 0.732 | 0.408 | 0.674 | 0.508 | 0.783 |
1: 1.5 | 0.758 | 0.437 | 0.605 | 0.507 | 0.785 |
1: 2 | 0.784 | 0.479 | 0.545 | 0.510 | 0.791 |
1: 2.5 | 0.796 | 0.504 | 0.518 | 0.511 | 0.783 |
1: 3 | 0.801 | 0.521 | 0.449 | 0.482 | 0.788 |
Raw dataset | 0.832 | 0.675 | 0.353 | 0.463 | 0.803 |
Our method | 0.826 | 0.584 | 0.524 | 0.552 | 0.816 |