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ROC plots of four developed ML models. Performance of Gradient Boosting Machine (GBM), Generalized Linear Model (GLM), Distributed Random Forest (DRF), and deep learning (artificial neural network) models in predicting (A) 5-year and (B) 10-year OTSCC recurrence. Patient’s data were split into an 80% training set and a 20% test set and 5-fold cross-validation was performed in each run.
