Diabetes mellitus, commonly known as diabetes, is a group of metabolic disorders characterized by a high blood sugar level (hyperglycemia) over a prolonged period of time. To predict the disease, it is extremely important to understand its symptoms. To predict the disease, it is extremely important to understand its symptoms. This paper presents diabetes classification and prediction using machine learning approach. Proposed system is increased the accuracy of the results by prediction of diabetes by using artificial neural network (ANN) deep learning algorithms. It enhances the performance of the overall classification results. Currently, machine-learning (ML) algorithms are valuable for disease detection.

Keywords—ANN, Machine Learning, Diabetes Classification, Disease.