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Commits on Jan 15, 2026

• Merge branch 'main' of https://github.com/Splinter0017/fpl-advisor-engine

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• Fixed the issue where the prediction reports were showing wrong opponent IDs.

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• updated .gitignore

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• Modified gitignore to exclude notebook files.

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Commits on Jan 12, 2026

• Add Notebooks/ to .gitignore

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• Delete Notebooks directory

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Commits on Dec 18, 2025

• Create README.md

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Commits on Dec 17, 2025

• Filtered out inactive players and low xP players from predictions.

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• Fixed code errors and improved clarity in print statements.

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• Improved the prediction logic by adding a classifier to predict player participation before estimating points, enhancing accuracy. Also refined output messages for clarity during execution.

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• Updated requirements.txt to reflect new dependencies and versions after recent code changes.

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• Added final prediction script to export predictions to CSV.

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• Commited the final inference script to generate predictions.

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• Final prediction notebook for FPL Advisor Engine.

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• Modified gitignore to exclude outputs/ and .ipynb_checkpoints/

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Commits on Dec 16, 2025

• Hyperparameter Tuning: Updated the amount of trials for tuning.(50->100) Adjusted print formatting for MAE values in model evaluation and tuning notebooks for better readability.

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• Hyperparameter Tuning and model optimization after creating new features.

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• Merge branch 'main' of https://github.com/Splinter0017/fpl-advisor-engine

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• Edited gitignore to exclude figures directory in Notebooks.

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• Delete Notebooks/figures directory

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• Modified some features due to temporal leakage.

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Commits on Dec 15, 2025

• Improved feature engineering.

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Commits on Dec 14, 2025

• Hyperparameter tuning and model optimization.

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• Modified gitignore to exclude model checkpoints and data files.

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Commits on Dec 13, 2025

• Warning handling.

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• Feature selection adjustments and model optimization.

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• Feature selection for model optimization and accuracy improvement.

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• Hyperparameters tuning.

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• Removed market features (transfers, selected, value...) and restored performance features (xG, momentum...) in the model feature set.

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• Model training and evaluation with classification and regression. (still in progress)

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• Model construction and evaluation. (still in progress)

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• Modified the features used to maken the model more relevant and accurate.

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Commits on Dec 12, 2025

• Fixed data fetching errors and added new data exploration notebook to enhance data quality.

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• Cleaned up unused notebooks

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• Removed failed notebook for hyperparameter tuning.

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