Crop Yield Predictor#1854
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@omroy07 please merge under NSOC |
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🎉 Congrats @Aditya8369 on getting your PR merged! 🙌 |
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Here is a summary of what was accomplished:
ML Training & Evaluation Script: Modified crop_yield_predictor.py to train a Random Forest model on the historical dataset with$97.30%$ $R^2$ accuracy. Integrated metric calculation (R2, MAE, RMSE) and plotted feature importance and test set actual-vs-predicted comparison charts (saved under assets/).
Interactive CLI Tool: Created predict_yield_cli.py, which interactively prompts the user for environmental and geographic parameters, suggests closest matches for unrecognized region names or crop types, runs inference using a Pandas DataFrame to align feature names, and yields prediction estimates safely.
Execution Safety: Removed emoji characters from stdout outputs in both files to prevent cp1252 Windows console encoding errors.
Verification: Executed the model training pipeline successfully and simulated CLI inputs to verify that the predictor outputs correct yields without warning.
closes #246