Therefore, we reason that RF classifiers including a variety of predictor variable types (e. g., circulating miRNA levels, fasting glucose, fasting insulin or c-peptide measures, and presence of autoantibodies, among others) could reach an optimal performance for accurate diagnosis of diabetes subtypes. Here, INS is linked to diabetes mellitus.