Class Imbalance Problem
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Such a significant class imbalance could have strongly affected the training process of the learning algorithm.
“Such a significant imbalance could have strongly affected the training process of the learning algorithm.”
From Abstract screening using the automated tool Rayyan: results of effectiveness in three diagnostic test accuracy systematic reviews (2022) · cites this paper as [22]
Cites
The class imbalance problem: A systematic study1
Japkowicz, N., & Stephen, S. (2002) · Intelligent Data Analysis · doi:10.3233/ida-2002-6504 · Cited by 3,295 · see citing works
Exploiting the Cost (In)sensitivity of Decision Tree Splitting Criteria
Drummond, C., & Holte, R. C. (2000) · Cited by 200 · see citing works
Severe Class Imbalance: Why Better Algorithms Aren’t the Answer
Drummond, C., & Holte, R. C. (2005) · Lecture notes in computer science · doi:10.1007/11564096_52 · Cited by 67 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
InnoHAR: A Deep Neural Network for Complex Human Activity Recognition
Xu, C., Chai, D., He, J., Zhang, X., & Duan, S. (2019) · IEEE Access · doi:10.1109/access.2018.2890675 · Cited by 333 · see citing works
Timmons, A. C., Duong, J. B., Simo Fiallo, N., Lee, T., Vo, H. P. Q., Ahle, M. W., Comer, J. S., Brewer, L. C., Frazier, S. L., & Chaspari, T. (2023) · Perspectives on Psychological Science · doi:10.1177/17456916221134490 · Cited by 263 · see citing works
Valizadeh, A., Moassefi, M., Nakhostin-Ansari, A., Hosseini Asl, S. H., Saghab Torbati, M., Aghajani, R., Maleki Ghorbani, Z., & Faghani, S. (2022) · BMC Medical Research Methodology · doi:10.1186/s12874-022-01631-8 · Cited by 159 · see citing works
- Authors
- Ling, C. X., & Sheng, V. S.
- Venue
- Encyclopedia of Machine Learning
- Publisher
- Springer US
- Published
- 2011
- Pages
- 171-171
- OpenAlex
- W2613869537
- Cited by
- 54
- References
- 3
- Citations by year
- 2026: 2 · 2025: 5 · 2024: 2 · 2023: 3 · 2022: 13 · 2021: 11 · 2020: 6 · 2019: 5 · 2018: 2 · 2016: 2 · 2015: 2 · 2013: 1
- Type
- reference entry
- Language
- en
- Open access
- closed
- Licence
- Locations
- Encyclopedia of Machine Learning (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Imbalanced Data Classification Techniques
- Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning and Data Classification
- Physical Sciences › Computer Science › Artificial Intelligence › Data Stream Mining Techniques
- Keywords
- class imbalance, cost-sensitive learning, minority class, classification accuracy, class distribution
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
