About this document
Diabetes Prediction with Machine Learning by Mudasir Bashir is a document available to read on EtoBox.
The project focuses on predicting diabetes using a machine learning model built from the Pima Indians Diabetes Dataset. The model achieved an accuracy of approximately 75%, with specific performance metrics indicating 50% correct predictions for diabetes and 82% for no diabetes. Future improvements include feature engineering, exploring different algorithms, hyperparameter tuning, data augmentation, and external validation.
- Author
- Mudasir Bashir
- Language
- EN