Erratum to “Entropy-based fuzzy support vector machine for imbalanced datasets” [Knowl.-Based Syst. 115 (2017) 87–99]

Erratum to “Entropy-based fuzzy support vector machine for imbalanced datasets” [Knowl.-Based Syst. 115 (2017) 87–99]

In this note, we show that the calculation of statistics XF2 and FF in sections 4.5 and 4.6 of the paper (Fan et al., 2017) is not correct. Also, based on the calculation of Critical Difference (CD) of Bonferroni–Dunn test, we show that the conclusion on ”significantly outperforming the compared alg...

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Veröffentlicht in:Knowledge-based systems 2020-03, Vol.192, p.105287, Article 105287
Hauptverfasser: Rezvani, Salim, Wang, Xizhao
Format: Artikel
Sprache:eng
Schlagworte:
Bonferroni–Dunn test
Friedman test
Information entropy fuzzy support vector machine
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Zusammenfassung:In this note, we show that the calculation of statistics XF2 and FF in sections 4.5 and 4.6 of the paper (Fan et al., 2017) is not correct. Also, based on the calculation of Critical Difference (CD) of Bonferroni–Dunn test, we show that the conclusion on ”significantly outperforming the compared algorithms”, drawn by the authors using the P-value test, is not convincing.
ISSN:0950-7051
1872-7409
DOI:10.1016/j.knosys.2019.105287