A Two-Stage Feature Selection Approach Based on Artificial Bee Colony and Adaptive LASSO in High-Dimensional Data

A Two-Stage Feature Selection Approach Based on Artificial Bee Colony and Adaptive LASSO in High-Dimensional Data

High-dimensional datasets, where the number of features far exceeds the number of observations, present significant challenges in feature selection and model performance. This study proposes a novel two-stage feature-selection approach that integrates Artificial Bee Colony (ABC) optimization with Ad...

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Bibliographic Details
Main Authors: Efe Precious Onakpojeruo, Nuriye Sancar
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:AppliedMath
Subjects:
feature selection
artificial bee colony
adaptive LASSO
high-dimensional data
Online Access:https://www.mdpi.com/2673-9909/4/4/81
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