A Novel Approach to Ensemble Classifiers: FsBoost-Based Subspace Method
Joint Authors
Polat, Kemal
Noor, Adeeb
Nour, Redhwan
Uçar, Muhammed Kürşad
Assiri, Abdullah
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-07-15
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
In this article, an algorithm is proposed for creating an ensemble classifier.
The name of the algorithm is the F-score subspace method (FsBoost).
According to this method, the features are selected with the F-score and classified with different or the same classifiers.
In the next step, the ensemble classifier is created.
Two versions that are named FsBoost.V1 and FsBoost.V2 have been developed based on classification by the same or different classifiers.
According to the results obtained, the results are consistent with the literature.
Besides, a higher accuracy rate is obtained compared with many algorithms in the literature.
The algorithm is fast because it has a few steps.
It is thought that the algorithm will be successful due to these advantages.
American Psychological Association (APA)
Noor, Adeeb& Uçar, Muhammed Kürşad& Polat, Kemal& Assiri, Abdullah& Nour, Redhwan. 2020. A Novel Approach to Ensemble Classifiers: FsBoost-Based Subspace Method. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1201439
Modern Language Association (MLA)
Noor, Adeeb…[et al.]. A Novel Approach to Ensemble Classifiers: FsBoost-Based Subspace Method. Mathematical Problems in Engineering No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1201439
American Medical Association (AMA)
Noor, Adeeb& Uçar, Muhammed Kürşad& Polat, Kemal& Assiri, Abdullah& Nour, Redhwan. A Novel Approach to Ensemble Classifiers: FsBoost-Based Subspace Method. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1201439
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1201439