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What Arya demonstrated
Built a turbine TEY predictor end to end with leakage-free inputs, a genuine time-based holdout, and a baseline-vs-forest comparison. The final RandomForest model improved held-out MAE from 2.90 to 1.53 MWh and was evaluated with MAE, RMSE, R2, and residual analysis on unseen later-period data.
- Leakage-Free Feature Selection
- Time-Based Holdout Validation
- Honest Held-Out Evaluation
- Residual Pattern Reading
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