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...
Saved in:
Main Authors: | Balogun, A.O., Basri, S., Mahamad, S., Abdulkadir, S.J., Capretz, L.F., Imam, A.A., Almomani, M.A., Adeyemo, V.E., Kumar, G. |
---|---|
Format: | Article |
Published: |
MDPI AG
2021
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100099715&doi=10.3390%2felectronics10020179&partnerID=40&md5=2b52e334c21bf34d53bbf53d0cea34b7 http://eprints.utp.edu.my/23911/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A novel rank aggregation-based hybrid multifilter wrapper feature selection method in software defect prediction
by: Balogun, A.O., et al.
Published: (2021) -
Software defect prediction: Analysis of class imbalance and performance stability
by: Balogun, A.O., et al.
Published: (2019) -
Rank Aggregation Based Hybrid Multi-Filter Wrapper Feature Selection Method For Software Defect Prediction
by: Oluwagbemiga, Balogun Abdullateef
Published: (2022) -
Performance analysis of feature selection methods in software defect prediction: A search method approach
by: Balogun, A.O., et al.
Published: (2019) -
Towards the sustainability of small and medium software enterprises through the implementation of software process improvement: Empirical investigation
by: Balogun, A.O., et al.
Published: (2022)