Predicting Consumer Service Price Evolution during the COVID-19 Pandemic: An Optimized Machine Learning Approach

Predicting Consumer Service Price Evolution during the COVID-19 Pandemic: An Optimized Machine Learning Approach

This research analyzes the impact of the COVID-19 pandemic on consumer service pricing within the European Union, focusing on the Transportation, Accommodation, and Food Service sectors. Our study employs various machine learning models, including multilayer perceptron, XGBoost, CatBoost, and random...

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Bibliographic Details
Main Authors: Theofanis Papadopoulos, Ioannis Kosmas, Georgios Botsoglou, Nikolaos I. Dourvas, Christoniki Maga-Nteve, Christos Michalakelis
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Electronics
Subjects:
machine learning
genetic algorithms
COVID-19
price evolution
XGBoost
Online Access:https://www.mdpi.com/2079-9292/12/18/3806

Internet

https://www.mdpi.com/2079-9292/12/18/3806

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