The Effect of Preprocessing Techniques, Applied to Numeric Features, on Classification Algorithms’ Performance

It is recognized that the performance of any prediction model is a function of several factors. One of the most significant factors is the adopted preprocessing techniques. In other words, preprocessing is an essential process to generate an effective and efficient classification model. This paper i...

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Detalles Bibliográficos

Principais autores:	Esra’a Alshdaifat, Doa’a Alshdaifat, Ayoub Alsarhan, Fairouz Hussein, Subhieh Moh’d Faraj S. El-Salhi
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2021-01-01
Series:	Data
Assuntos:	preprocessing classification algorithms normalization missing values classification performance data cleaning
Acceso en liña:	https://www.mdpi.com/2306-5729/6/2/11
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