Ten state-of-the-art machine learning algorithms, including plsRglm, NaiveBayes, Ridge, GBM, SVM, LDA, LASSO, Enet, glmBoost, and XGBoost, were benchmarked to identify the optimal predictive model for EGFR mutation in NSCLC patients. This evidence concerns the gene EGFR and non-small cell lung carcinoma.