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Table 2 Comparison of CV-AUC of standard random forest (RF) and tuned random forest (tRF). Screening is applied to both methods, but not class balancing or inverse sampling probability weighting

From: Improving random forest predictions in small datasets from two-phase sampling designs

 

RF

tRF

All markers

0.824

0.807

T cell markers

0.812

0.802

Antibody markers

0.708

0.721

No markers

0.442

0.455

  1. Clinical covariates (age, BMI, and a risk behavior score) are always included