Line Plot from Scientific Research

Random forest classifiers in distinguishing CGIs and T2Ds from NGTs in the discovery ( f ) cohort based on the FINDRISC, microbiome, 143 microbiome-associated and prediabetes-associated and diabetes-associated metabolites, the 32 most robust microbiome-associated metabolites identified in both the Swedish and Israeli cohorts, or all 501 of 502 prediabetes-associated and diabetes-associated metabolites excluding glucose. The performance of the classifiers is assessed by AUC; the cross-validation AUCs based on tenfold cross-validation repeated ten times in the discovery cohort and true prediction AUCs in the validation cohort were provided, respectively.

DOI