Hybrid XGBoost and Neural Network Model for Accurate Wine Quality Prediction

Alekhya, Chelluri and Dhaneswari, Kesireddy Krupa and Babu, Kottakota Mohan and Padmasri, Ariveni Vijaya Venkata and Subramanyam, Tutta Lakshmi and Damarla, Reethika (2025) Hybrid XGBoost and Neural Network Model for Accurate Wine Quality Prediction. In: Proceedings of the 4th International Conference on Information Technology, Civil Innovation, Science, and Management, ICITSM 2025, 28-29 April 2025, Tiruchengode, Tamil Nadu, India, Part II.

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Abstract

To summarize, in this study, a hybrid model of wine quality prediction that integrates the strengths of XGBoost and neural networks is introduced. The ability of XGBoost in feature selection and its capability of understanding complex non-linear correlations is combined with the learning power of ne

Item Type: Conference or Workshop Item (UNSPECIFIED)
Date Deposited: 04 Mar 2026 20:20
Last Modified: 16 Apr 2026 15:51
URI: http://eprints.eai.eu/id/eprint/60232

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