About this document
Diabetes Prediction with AI & ML Techniques by rvit23mca105.rvitm is a document available to read on EtoBox.
The seminar report discusses the use of Artificial Intelligence (AI) and Machine Learning (ML) models for predicting diabetes, focusing on Decision Trees and k-Nearest Neighbors algorithms. It highlights the importance of early detection and the application of data preprocessing techniques to ensure model accuracy. The findings indicate that both algorithms can effectively predict diabetes, with each having distinct advantages in different scenarios.
- Author
- rvit23mca105.rvitm
- Language
- EN