PavanKumarD/CatBoost-Credit-Risk

Welcome to Streamlit!

Edit /src/streamlit_app.py to customize this app to your heart's desire. :heart:

If you have any questions, checkout our documentation and community forums.

📊 Credit Score Classifier - CatBoost Model

An interactive app that predicts a customer's Credit Score — Good, Standard, or Poor — based on financial history, spending behavior, and demographic data.

🚀 Try it out!

➡️ Enter inputs like Occupation, Outstanding Debt, Monthly Salary, Credit Mix, and more. ✅ Instantly get the predicted Credit Score.

🔍 Model Info

• —Model: CatBoostClassifier
• —Accuracy: 83.88%
• —Handles both numeric and categorical features natively
• —Trained on 23 features with extensive preprocessing and tuning

💡 Example Use

1. 1.Choose or enter values in the sidebar
2. 2.Click "Predict Credit Score"
3. 3.View the result with probability scores and interpretation

🧠 Powered By

• —CatBoost
• —Streamlit
• —Hugging Face Spaces

📬 Created by

Pavan Kumar Dirisala 🔗 GitHub | 🔗 LinkedIn