HViTML: Hybrid vision transformer with machine learning-based classification model for glaucomatous eye

The results demonstrated that preparing the provided dataset with various optimizers improved accuracy and other performance metrics, and combined ViT with a hybrid model that consisted of six different models, including SVM, Gaussian NB, Bernoulli NB, Decision Tree, KNN, and Random Forest, based on which optimizer was the most successful for each dataset.