Variable Selection in Data Analysis: A Synthetic Data Toolkit
Variable (feature) selection plays an important role in data analysis and mathematical modeling. This paper aims to address the significant lack of formal evaluation benchmarks for feature selection algorithms (FSAs). To evaluate FSAs effectively, controlled environments are required, and the use of...
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| Other Authors: | , , , |
| Format: | article |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://hdl.handle.net/11073/32528 |
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