Diabetes Prediction and Classification

• A machine learning webapp created using Streamlit to predict the onset of diabetes based on diagnostic measures
• Dataset used over here is obtained from Kaggle, Pima Indians Diabetes Database
  • https://www.kaggle.com/datasets/uciml/pima-indians-diabetes-database
• Used Random Forest Classifier to train the model, with multiple algorithms compared in the jupyter notebook
• Achieved an accuracy score of 0.89 and an AUC score of 0.93

Installation

Install all streamlit requirements by run the following command

pip install requirements.txt

Run Streamlit

To access and use the application,donwoload or clone the repository and then run the command below.

streamlit run app.py

Streamlit Cloud

The application has been deployed in the Streamlit Cloud.You can access here: https://rexon-pambujya-diabetes-prediction-streamlit-app-kcat5n.streamlit.app/

NOTE : The app might go to sleep due to inactive traffic, wake up the app in that case

Demo

Give it a Star

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Credits

Vincent Lugat's notebook