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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
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BMC Bioinformatics

ISSN: 1471-2105

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