Binary plant rhizome growth-based optimization algorithm: an efficient high-dimensional feature selection approach
Abstract Feature selection is a pivotal research area within machine learning, tasked with pinpointing the essential subset of features from a broad array that critically influences a model’s predictive capabilities. This process enhances model precision and drastically lowers the computational dema...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-01-01
|
| Series: | Journal of Big Data |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40537-025-01066-0 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|