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Datathon Forecasting Strategy Discussion by Nhân Phan is a document available to read on EtoBox.

The document discusses the challenges of long-horizon sales forecasting in competitive data science environments, highlighting the limitations of recursive forecasting strategies and tree-based models like XGBoost. It proposes a shift to direct forecasting methodologies that leverage deterministic data generation rules, data leakage, and advanced feature engineering to minimize error and improve predictive accuracy. The report outlines specific strategies to address algorithmic flaws, exploit accounting adj

Author
Nhân Phan
Language
EN