Machine learning-based diagnosis of eye-diseases

<span>Over the last several years, artificial intelligence (AI) has been substantially utilized in image processing and classification. Several tools are accessible for visualizing, training, pre-processing data. One such tool is orange, which modules a particular add-on methods addition to excellent data visualization. The (version 3.32.0) was used suggested study give comparative predictive analysis using classification models. Three main models have train predict three groups eye diseases. results were compared based on some criteria, including area-under-a-curve (AUC), accuracy of (CA), F1 score, precision, recall. These include K-nearest neighbour (KNN), logistic regression (LR), neural networks (ANN) stacking model. model, novel also presented this work by concatenating output parallel form ANN KNN with LR best performance belonged Stacking offers detection prediction results.</span>