credit-score-random-forest-sample

Credit Score Random Forest Sample

Model Summary

This repository stores a model artifact used by the credit-score predictor project. The artifact is published as-is for reproducibility and deployment.

Files

• random_forest_sample.pkl: uploaded model artifact
• README.md: autogenerated model card

Intended Use

This model is intended for experimentation and educational workflows around credit-risk and related tabular tasks. Validate data schema, preprocessing, calibration, and fairness before any production or decision-support usage.

Loading Example

from pathlib import Path
import joblib

artifact = Path('random_forest_sample.pkl')
model = joblib.load(artifact)
print(type(model))

If this artifact is a PyTorch state dict (.pt) or JSON payload, use the corresponding loader instead of joblib.