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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Bibliographic Details

Main Authors:	Puja Supakar, Mitali Sarkar, Biswajit Sarkar
Format:	Artigo
Language:	Inglês
Published:	Elsevier 2026-03-01
Series:	Ain Shams Engineering Journal
Subjects:	Demand forecast Gradient boosting Hyperparameter tuning GridSearchCV RandomizedSearchCV Optuna
Online Access:	http://www.sciencedirect.com/science/article/pii/S2090447926000390
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