Forecasting grocery item sales using gradient boosting models: A study of GridSearchCV, RandomizedSearchCV, and optuna optimization approaches

This study introduces predictive modeling based on Extreme Gradient Boosting (XGBoost), which utilizes Optuna for hyperparameter optimization and evaluates performance against GridSearchCV and RandomizedSearchCV using a 500-day dataset. To ensure statistical reliability of the findings, a bootstrapp...

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Bibliografische Detailangaben

Hauptverfasser:	Puja Supakar, Mitali Sarkar, Biswajit Sarkar
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Elsevier 2026-03-01
Schriftenreihe:	Ain Shams Engineering Journal
Schlagworte:	Demand forecast Gradient boosting Hyperparameter tuning GridSearchCV RandomizedSearchCV Optuna
Online-Zugang:	http://www.sciencedirect.com/science/article/pii/S2090447926000390
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