Variable Selection in Data Analysis: A Synthetic Data Toolkit

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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Bibliographic Details
Main Author: Mitra, Rohan (author)
Other Authors: Ali, Eyad (author), Varam, Dara (author), Sulieman, Hana (author), Kamalov, Firuz (author)
Format: article
Published: 2024
Subjects:
Variable selection
Data analysis
Synthetic datasets
Synthetic data generation
Feature selection algorithms
Online Access:https://hdl.handle.net/11073/32528
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https://hdl.handle.net/11073/32528

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