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

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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Bibliographic Details
Main Authors: Esra’a Alshdaifat, Doa’a Alshdaifat, Ayoub Alsarhan, Fairouz Hussein, Subhieh Moh’d Faraj S. El-Salhi
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Data
Subjects:
preprocessing
classification algorithms
normalization
missing values
classification performance
data cleaning
Online Access:https://www.mdpi.com/2306-5729/6/2/11

Internet

https://www.mdpi.com/2306-5729/6/2/11

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