This is a Streamlit web application that makes predictions about diabetes based on the patient data provided by the user.
- Using the Support Vector Classifier model provided by the Scikit-Learn library, prediction about diabetes based on the patient's medical details is made.
- This model has been trained on the Diabetes Dataset for Beginners from Kaggle using standardization and stratification techniques.
- The pre-trained SVC model has been saved as a pickle file. The app collects user inputs through a form, feeds those inputs to the model, which then makes the prediction displayed by the app as the prediction result.