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...

Full description

Bibliographic Details
Main Authors: Rohan Mitra, Eyad Ali, Dara Varam, Hana Sulieman, Firuz Kamalov
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Mathematics
Subjects:
variable selection
data analysis
synthetic datasets
synthetic data generation
feature selection algorithms
Online Access:https://www.mdpi.com/2227-7390/12/4/570

Internet

https://www.mdpi.com/2227-7390/12/4/570

Similar Items