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Machine learning classification of LUAD and LUSC. (A) ROC, precision recall curve and confusion matrix. Classifiers of the largest AUC, with values between 0 and 1, exhibit the greatest predictive accuracy. (B) SHAP values breakdown of two trained models. Features of the largest SHAP values are of greatest influence to the models’ predictive means. (C) Remaining features after RFE by cancer type. Most significant species to model prediction succeeding elimination.
