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Predict the whole test period, undo the scaling, and compute MAE, RMSE and MAPE. Put LSTM, seasonal naive and LightGBM in one table. Plot forecast vs actual for 2 weeks and the average error by hour of day. Write a short decision: which model would you deploy and why?
Builds on: S02 · Build: An Evaluation Harness (used for every model)