other · Figshare · 2022
Genetic Algorithm for variable selection
Hossain, Ahmed
Cited by 0Open access
Abstract
This study aims to explore the coding of GA for variable selection. The selected variables will be later used to build a linear regression model and then report model performance. The study will consider three simple variations of GA based on population size (20, 50, 200) and then plot graphs to show whether any of these variations performed better than others in a statistically significant way.
Cite this paper
Hossain, A. (2022). Genetic Algorithm for variable selection. Figshare. https://doi.org/10.6084/m9.figshare.21741248
Hossain, Ahmed. “Genetic Algorithm for variable selection.” Figshare, 2022, https://doi.org/10.6084/m9.figshare.21741248.
Hossain, Ahmed. 2022. “Genetic Algorithm for variable selection.” Figshare. https://doi.org/10.6084/m9.figshare.21741248.
Hossain, A. (2022) ‘Genetic Algorithm for variable selection’, Figshare. Available at: https://doi.org/10.6084/m9.figshare.21741248.
@misc{hossain2022genetic,
title = {{Genetic Algorithm for variable selection}},
author = {Hossain, Ahmed},
journal = {Figshare},
year = {2022},
doi = {10.6084/m9.figshare.21741248}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.