Tuning model parameters in class‐imbalanced learning with precision‐recall curve-Reference-Cited by-同舟云学术

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Tuning model parameters in class‐imbalanced learning with precision‐recall curve

Published:2018-12-12 Issue:3 Volume:61 Page:652-664
ISSN:0323-3847
Container-title:Biometrical Journal
language:en
Short-container-title:Biom. J.

Author:

Fu Guang‐Hui¹^ORCID,Yi Lun‐Zhao²,Pan Jianxin³^ORCID

Affiliation:

1. School of ScienceKunming University of Science and TechnologyKunming P. R. China

2. Yunnan Food Safety Research InstituteKunming University of Science and TechnologyKunming P. R. China

3. School of MathematicsThe University of ManchesterManchester UK

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/bimj.201800148

Reference46 articles.

1. Applying support vector machines to imbalanced datasets;Akbani R.;Machine Learning: ECML,2004

2. Classification with class imbalance problem: A review;Ali A.;International Journal of Advances in Soft Computing and its Applications,2015

3. DBFS: An effective Density Based Feature Selection scheme for small sample size and high dimensional imbalanced data sets

4. Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays

5. Best subset selection via a modern optimization lens

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