Table 3 Performance of base and stacking models
From: Velo-Predictor: an ensemble learning pipeline for RNA velocity prediction
| Â | PRE-0 | PRE-1 | PRE-2 | PRE-3 | Balanced score |
|---|---|---|---|---|---|
XGBoost | 0.85 | 0.81 | 0.75 | 0.73 | 0.79 |
RF | 0.83 | 0.8 | 0.72 | 0.66 | 0.75 |
GBDT | 0.82 | 0.7 | 0.64 | 0.63 | 0.70 |
ET | 0.87 | 0.79 | 0.72 | 0.73 | 0.76 |
ADA | 0.66 | 0.58 | 0.55 | 0.58 | 0.60 |
stacking | 0.83 | 0.8 | 0.74 | 0.7 | 0.78 |