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Comparison of k-NN with other classifiers. A, The grid search with 10-fold CV in the TCGA pan-cancer to search for the optimal k(s) for k-NN. B, Comparison of the performance between four different k-NNs (k = 5, 7, 9, and 11) in predicting MSI. C, Comparison of the performance between k-NN (k = 5) and the RF, SVM, and XGBoost classifiers. RF: random forest. SVM: support vector machine. XGBoost: extreme gradient boosting.
