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What Joginder demonstrated
Built a leakage-aware turbine yield predictor end to end: framed TEY as the target, excluded downstream CO/NOx emissions, trained a LinearRegression baseline and a RandomForest model, and validated on a genuine time-based holdout. The final model was evaluated honestly with MAE, RMSE, R², and residual analysis, and the accompanying model card documented intended use, limits, and monitoring triggers in plain language.
- Leakage-Free Feature Selection
- Time-Based Holdout Validation
- Honest Held-Out Evaluation
- Plain-Language Model Communication
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