Luke Mosoti d0db33062d Refactor XGBoost training logic and update optimizer parameters ...

- Removed the early stopping guard fold in the XGBoost training process to enhance model generalization.
- Updated optimizer version to 3.6 and adjusted search space for regularization parameters (reg_alpha and reg_lambda) to prevent overfitting.
- Implemented a purged inner cross-validation split to avoid leakage between training and validation sets.
- Adjusted scoring penalties for WFE to better reflect model performance discrepancies.

2026-05-15 01:24:34 +03:00

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