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The relative importance of the top 15 features for predicting insulin resistance (IR), as determined by the XGBoost and random forest algorithms. (a) IR prediction model by the XGBoost algorithm 3. (b) IR prediction model by the random forest algorithm. ALT, alanine aminotransferase; HbA1c, hemoglobin A1c; γ-GTP, γ-glutamyl transpeptidase; HDL, high-density lipoprotein; CRP, high-sensitive C-reactive protein; PRS, polygenetic risk scores.
