Fig. 3 | Scientific Reports

Fig. 3

From: Identification of diagnostic biomarkers and molecular subtype analysis associated with m6A in Tuberculosis immunopathology using machine learning

Fig. 3

Selection of Key m6A Regulatory Genes Using Machine Learning. (A) Boxplot of residuals for the four machine learning algorithms. (B) Reverse cumulative distribution of residuals for the four machine learning algorithms. (C) ROC curves for the four machine learning models. (D) Selection of key m6A regulatory genes using the Random Forest (RF) algorithm. (E) Importance scores of the key m6A regulatory genes.

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