Tabular Data Models for Predicting Art Auction Results

Predicting art auction results presents a unique challenge due to the complexity and variability of factors influencing artwork prices. This study explores a range of machine learning architectures designed to forecast auction outcomes using tabular data, including historical auction records, artwor...

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Bibliographic Details
Published in:Applied Sciences
Main Authors: Patryk Mauer, Szczepan Paszkiel
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Subjects:
tabular data predictions
machine learning architectures
neural networks
decision trees
Online Access:https://www.mdpi.com/2076-3417/14/23/11006

Internet

https://www.mdpi.com/2076-3417/14/23/11006

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