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Table 3 Performance of base and stacking models

From: Velo-Predictor: an ensemble learning pipeline for RNA velocity prediction

  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