Similarly, Sengupta et al. [57] demonstrated that SVM maintained stable accuracy across different glioma grades, paralleling our study’s findings that SVM remained one of the most effective classifiers for IDH1 prediction. This evidence concerns the gene IDH1 and central nervous system cancer.