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A survey on feature selection methods
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“This kind of initial feature pruning can improve out-of-sample model performance substantially (80).”
From Using Administrative Data to Predict Suicide After Psychiatric Hospitalization in the Veterans Health Administration System (2020) · cites this paper as [80]
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Global soil pollution by toxic metals threatens agriculture and human health
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Metadata
- Authors
- Chandrashekar, G., & Sahin, F.
- Affiliations
- Rochester Institute of Technology (US)
- Corresponding author
- Chandrashekar, Girish
- ORCID
- Sahin, Ferat
- Venue
- Computers & Electrical Engineering
- Publisher
- Elsevier BV
- Published
- 2014-01
- Volume
- 40
- Issue
- 1
- Pages
- 16-28
- ISSN
- 0045-7906 (ISSN-L)
- OpenAlex
- W2167101736
- Cited by
- 5,189
- References
- 92
- Citations by year
- 2026: 351 · 2025: 517 · 2024: 575 · 2023: 652 · 2022: 655 · 2021: 651 · 2020: 498 · 2019: 440 · 2018: 378 · 2017: 239 · 2016: 138 · 2015: 73 · 2014: 21
- FWCI
- 68.25
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Computers & Electrical Engineering (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Inference
- Physical Sciences › Computer Science › Artificial Intelligence › Text and Document Classification Technologies
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face and Expression Recognition
- Keywords
- feature selection, high-dimensional data, filter methods, wrapper methods, embedded methods, dimensionality reduction, machine learning
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