Figure 8
Machine learning models using RF, SVM, GLM, and XGB are built and evaluated. (A) The intersections of module-related genes from m6A clusters and module-related genes from the GSE33000 dataset. (B) Boxplots illustrated each machine learning model's residuals. The red dot signified the root mean square of residuals (RMSE). (C) Distribution of cumulative residuals for each machine learning model. (D) The salient characteristics of the RF, SVM, GLM, and XGB models of machine learning. (E) Four machine learning models were tested using a fivefold cross-validation procedure, and the results were analyzed using the ROC curve.
