Skip to main content

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
Back to article page

BMC Bioinformatics

ISSN: 1471-2105

Contact us