The choice of scaling technique matters for classification performance

LBV de Amorim, GDC Cavalcanti, RMO Cruz - Applied Soft Computing, 2023 - Elsevier
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 …
被引用次数：88 相关文章

The choice of scaling technique matters for classification performance

LBV de Amorim, GDC Cavalcanti, RMO Cruz - 2023 - dl.acm.org
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 …

[引用][C] The choice of scaling technique matters for classification performance

LBV de Amorim, GDC Cavalcanti… - Applied Soft …, 2023 - espace2.etsmtl.ca
The choice of scaling technique matters for classification performance - Espace ÉTS ENGLISH
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The choice of scaling technique matters for classification performance

LBV de Amorim, GDC Cavalcanti, RMO Cruz - arXiv e-prints, 2022 - ui.adsabs.harvard.edu
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 …

The choice of scaling technique matters for classification performance

LBV de Amorim, GDC Cavalcanti, RMO Cruz - arXiv preprint arXiv …, 2022 - arxiv.org
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 …

[引用][C] The choice of scaling technique matters for classification performance

LBV de Amorim, GDC Cavalcanti… - Applied Soft …, 2023 - espace2.etsmtl.ca
The choice of scaling technique matters for classification performance - Espace ÉTS ENGLISH
Logo La vitrine de diffusion des publications et contributions des chercheurs de l'ÉTS …