Skip to main content

Table 1 Accuracy of RF, SVM and GLM across three datasets from DIABIMMUNE research group

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

Dataset Data type Accuracy
RF SVM GLM
Three country cohort 16S 0.8832 0.8063 0.7844
WGS 0.8846 0.7014 0.5165
T1D cohort 16S 0.9017 0.9245 0.5897
WGS 0.9385 0.7719 0.6316
Antibiotic cohort 16S 0.8666 0.7544 0.7397
WGS 0.7149 0.6328 0.5362
  1. Bold values represent the highest accuracy for each type of tested data in any given dataset
\