QR код

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...

Повний опис

Збережено в:
Автори: 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
Формат: Artigo
Мова:Inglês
Опубліковано: IEEE 2025-01-01
Серія:IEEE Access
Предмети:
Data preprocessing
feature scaling
machine learning algorithms
normalization
standardization
Онлайн доступ:https://ieeexplore.ieee.org/document/11261543/
Теги: Додати тег
Немає тегів, Будьте першим, хто поставить тег для цього запису!

Схожі ресурси