A novel ensemble method for classification in imbalanced datasets using split balancing technique based on instance hardness (sBal

A novel ensemble method for classification in imbalanced datasets using split balancing technique based on instance hardness (sBal_IH)

Published:2021-01-11 Issue: Volume: Page:
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Chongomweru Halimu^ORCID,Kasem Asem

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/content/pdf/10.1007/s00521-020-05570-7.pdf

Reference91 articles.

1. Ho TK, Basu M (2002) Complexity measures of supervised classification problems. IEEE Trans Pattern Anal Mach Intell 24(3):289–300

2. Huang J, Ling CX (2005) Using AUC and accuracy in evaluating learning algorithms. IEEE Trans Knowl Data Eng 17(3):299–310

3. Ling CX and Zhang H 2003 AUC: a statistically consistent and more discriminating measure than accuracy

4. Tapkan P, Özbakir L, Kulluk S, Baykasolu A (2016) A cost-sensitive classification algorithm: BEE-Miner. Knowledge-Based Syst 95:99–113

5. Weiss G, McCarthy K, Zabar B (2007) Cost-sensitive learning vs. sampling: which is best for handling unbalanced classes with unequal error costs? Dmin, no pp 1–7

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