README.md

Diabetes predictions application in Python

This application is made using sklearn machine learning libraries and pyqt5 for its graphical user interface. Support Vector Machine classifies input data with a 80% accuracy. We have choosen the PIMA indians diabetes dataset from UCI archive.

USAGE

Firstly install all dependencies via the following command.

pip3 install -r requirements.txt

Now train the application in you pc as

python3 diabetes.py

Finally run the application :

python3 gui.py

Now insert all the requires details.