e i

Investigating the Efficiency of Genetic Algorithms in Feature Selection

Abstract: In the realm of data analysis and machine learning, feature selection plays a crucial role in identifying the most relevant attributes that contribute to the predictive power of a model. Genetic Algorithms (GAs) have gained significant attention in recent years as a powerful technique for feature selection. This article aims to investigate the efficiency of genetic algorithms in the context of feature selection, exploring their strengths, limitations, and potential areas of improvement.