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notebooks/
MLP and XGBoost training + LOPO evaluation.
Files: mlp.ipynb, xgboost.ipynb. Same flow: config β data from prepare_dataset β 70/15/15 train β loss curves β test metrics β save checkpoint + JSON log β LOPO over 9 participants.
Run in Jupyter with the project venv; set kernel cwd to repo root or notebooks/.