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Loan Approval Predictor (BUS458 Final) β€” kmsmit49

This is a Gradio demo that predicts loan approval using a trained scikit-learn model.

How it works

  • The app tries to load loan_model.pkl from this Space repository.
  • If the model is not present, you can upload a compatible loan_model.pkl file using the in-app file uploader.
  • The model should expect the following numeric features, in any order but with these column names:
    • Granted_Loan_Amount
    • Requested_Loan_Amount
    • FICO_score
    • Monthly_Gross_Income
    • Monthly_Housing_Payment

Files

  • app.py β€” Gradio application
  • loan_model.pkl β€” (You must upload this file to run predictions)
  • requirements.txt β€” Python dependencies

Notes

  • Save the full preprocessing + estimator as a scikit-learn Pipeline to avoid mismatches.
  • If loan_model.pkl is large (>50 MB), use Git LFS or host the model in a separate Hugging Face model repo and change the loading code accordingly.
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