# notebooks/

MLP and XGBoost training + LOPO evaluation.

**Files:** `mlp.ipynb`, `xgboost.ipynb`. Same flow: config → data from prepare_dataset → 70/15/15 train → loss curves → test metrics → save checkpoint + JSON log → LOPO over 9 participants.

Run in Jupyter with the project venv; set kernel cwd to repo root or `notebooks/`.