The choice of scaling technique matters for classification performance

• Published in: Applied soft computing Vol. 133; p. 109924
• Main Authors: de Amorim, Lucas B.V., Cavalcanti, George D.C., Cruz, Rafael M.O.
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.01.2023
• Subjects: Classification; Ensemble of classifiers; Multiple Classifier System; Normalization; Preprocessing; Scaling; Standardization; Multiple Classifier System; Preprocessing; Classification; Standardization; Scaling; Ensemble of classifiers; Normalization

Dataset scaling, also known as normalization, is an essential preprocessing step in a machine learning pipeline. It is aimed at adjusting attributes scales in a way that they all vary within the same range. This transformation is known to improve the performance of classification models, but there a...