This is a web app built to dynamically select a classifier from the given options along with their respective hyper-parameters and view the results in three formats.

The classifiers used:

• Support Vector Classifier
• Logistic Regression
• Random Forest Classifier

The metrics used:

• Confusion Matrix
• ROC Curve
• Precision-Recall Curve

The web app was built using the Streamlit module.

The webpage was deployed on Heroku.

Check it out here:

https://bin-cls-viz-app.herokuapp.com/

I also utilised Streamlit Sharing to automatically host my web app on their server without the need of external shell scripting and other procedures required for hosting a website on heroku.

Check it out here: https://share.streamlit.io/indrap24/binary-classification-web-app/main/app.py