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What Kokku demonstrated
Built a leakage-aware turbine yield predictor end to end: selected the eight valid sensor features, excluded downstream CO/NOx emissions, trained and compared a LinearRegression baseline with a RandomForest, and evaluated on a locked-away later-year test split. Reported honest held-out performance (MAE 1.502 MWh, RMSE 1.908 MWh, R² 0.9838), documented residual behavior, and wrote a concise model card with intended use, limits, and drift monitoring.
- Leakage-Free Feature Selection
- Honest Held-Out Evaluation
- Model Comparison and Tuning
- Plain-Language Model Communication
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