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Table 5 Bacteria with high feature importance score in the classification model developed using the dataset from [18]

From: Using data science for medical decision making case: role of gut microbiome in multiple sclerosis

Level Predictive functions with high feature importance score
2nd hierarchical level Signaling Molecules and Interaction, Amino Acid Metabolism, Excretory System, Lipid Metabolism,
  Genetic Information Processing, Nervous System, Energy Metabolism
3rd hierarchical level Carotenoid biosynthesis, Influenza A, Glycosyltransferases, Basal transcription factors, Biosynthesis of unsaturated fatty acids,
  Caprolactam degradation, Signal transduction mechanisms, Flavonoid biosynthesis, Caffeine metabolism,
  Chloroalkane and chloroalkene degradation, Non-homologous end-joining, Hepatitis C,
  Chagas disease (American trypanosomiasis), Butirosin and neomycin biosynthesis, Chlorocyclohexane and chlorobenzene
  degradation, Phenylalanine, tyrosine and tryptophan biosynthesis, Ubiquinone and other terpenoid-quinone biosynthesis,
  Vibrio cholerae infection, Nitrotoluene degradation, Steroid hormone biosynthesis, Aminoacyl-tRNA biosynthesis, Steroid
  biosynthesis, Bacterial toxins, Novobiocin biosynthesis, Phenylalanine metabolism, Pantothenate and CoA biosynthesis,
  Meiosis – yeast, Cell cycle