Bird’s Eye View feature selection for high-dimensional data
Abstract In machine learning, an informative dataset is crucial for accurate predictions. However, high dimensional data often contains irrelevant features, outliers, and noise, which can negatively impact model performance and consume computational resources. To tackle this challenge, the Bird’s Ey...
Main Authors: | Samir Brahim Belhaouari, Mohammed Bilal Shakeel, Aiman Erbad, Zarina Oflaz, Khelil Kassoul |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-08-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-023-39790-3 |
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