Abdelrahman Almatrooshi
FocusGuard with L2CS-Net gaze estimation
7b53d75

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/.