The Impact of Feature Scaling in Machine Learning: Effects on Regression and Classification Tasks

This study addresses the lack of comprehensive evaluations of feature scaling by systematically assessing 12 techniques, including less common methods such as VAST and Pareto, in 14 machine learning algorithms and 16 datasets covering both classification and regression tasks. The impact of feature s...

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Principais autores:	Joao Manoel Herrera Pinheiro, Suzana Vilas Boas de Oliveira, Thiago Henrique Segreto Silva, Pedro Antonio Rabelo Saraiva, Enzo Ferreira de Souza, Ricardo V. Godoy, Leonardo Andre Ambrosio, Marcelo Becker
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	IEEE 2025-01-01
סדרה:	IEEE Access
נושאים:	Data preprocessing feature scaling machine learning algorithms normalization standardization
גישה מקוונת:	https://ieeexplore.ieee.org/document/11261543/
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