Ozturk-Isik et al. [49] reported sensitivity values between 76.92% and 83.33% for SVM, DT, and KNN in predicting IDH1 and TERTp mutations, while Rathore et al. [51] demonstrated high accuracy for SVM-based glioma classification. The gene discussed is IDH1; the disease is central nervous system cancer.