Table 3 Highest observed cross validation accuracies of MegaR and MetAML on T2D and Cirrhosis data sets

From: MegaR: an interactive R package for rapid sample classification and phenotype prediction using metagenome profiles and machine learning

Dataset Program Accuracy Percent difference
T2D MegaR 0.6683 0.6509
MetAML 0.6640
Cirrhosis MegaR 0.8846 0.8608
MetAML 0.8770
  1. Bold values represent the highest obtained accuracy for each dataset