Empirical Analysis of Rank Aggregation-Based Multi-Filter Feature Selection Methods in Software Defect Prediction

Empirical Analysis of Rank Aggregation-Based Multi-Filter Feature Selection Methods in Software Defect Prediction

Selecting the most suitable filter method that will produce a subset of features with the best performance remains an open problem that is known as filter rank selection problem. A viable solution to this problem is to independently apply a mixture of filter methods and evaluate the results. This st...

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Bibliographic Details
Main Authors: Abdullateef O. Balogun, Shuib Basri, Saipunidzam Mahamad, Said Jadid Abdulkadir, Luiz Fernando Capretz, Abdullahi A. Imam, Malek A. Almomani, Victor E. Adeyemo, Ganesh Kumar
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Electronics
Subjects:
high-dimensionality
rank aggregation
feature selection
software defect prediction
Online Access:https://www.mdpi.com/2079-9292/10/2/179

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https://www.mdpi.com/2079-9292/10/2/179

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