Table 3.
Results on the dataset
| Threshold | Method | AUPR | R50 |
|---|---|---|---|
| 5 |
Random forest |
0.5718 |
0.1450 |
| Random |
0.4975 |
0.0661 |
|
| 10 |
Random forest |
0.3204 |
0.0762 |
| Random |
0.2510 |
0.0272 |
|
| 30 |
Random forest |
0.0868 |
0.0426 |
| Random |
0.0600 |
0.0197 |
|
| 50 | Random forest |
0.1115 |
0.0792 |
| Random | 0.0734 | 0.0283 |
Table shows area under the precision recall curve (AUPR) and R50 that measures the area under the precision-recall curve until reaching 50 negative predictions.