Machine learning-based prediction of diabetic retinopathy from pupillary abnormalities in a South Indian population
Fig 4
Comparison of Receiver Operating Characteristic (ROC) curves for model performance across training, validation, and testing phases.
Models compared include Decision Tree Classifier, K-Nearest Neighbors (KNN), Logistic Regression, Naïve Bayes Classifier, Neural Network, Random Forest Classifier, and Support Vector Machine (SVM). The Area Under the Curve (AUC) values are reported for each model.