This repository contains a diabetes prediction model based on logistic regression. The model has an accuracy of 80%.
Diabetes is a chronic disease that affects millions of people worldwide. Early detection and management of the condition can help prevent complications and improve the quality of life for those affected.
Our model uses logistic regression to predict the likelihood of an individual developing diabetes based on various risk factors. The model has been trained and tested on a dataset and has achieved an accuracy of 80%.
it is the part of my website you can see it in action at https://rahim-khan.azurewebsites.net/
To use the model, simply input the relevant risk factors for an individual and the model will output the likelihood of that individual developing diabetes.
We welcome contributions to improve the accuracy and usability of our model. If you have any suggestions or improvements, please feel free to open an issue or submit a pull request.
This project is licensed under the MIT License.