A Novel Approach to Ensemble Classifiers: FsBoost-Based Subspace Method

Adeeb Noor, Muhammed Kürşad Uçar, Kemal Polat, Abdullah Assiri and Redhwan Nour

Mathematical Problems in Engineering, 2020, vol. 2020, 1-11

Abstract:

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.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:8571712

DOI: 10.1155/2020/8571712

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