PSO-UFS: A Novel Approach to Univariate Feature Selection Using Particle Swarm Optimization
Mohammed Mehdi Bouchene
Abstract:Univariate Feature Selection (UFS) traditionally involves a labor-intensive process of trial-and-error, necessitating the selection of scoring functions and the determination of feature numbers. These choices can inadvertently affect both the performance and interpretability of the model. To address this challenge, we introduce Particle Swarm Optimization for Univariate Feature Selection (PSO-UFS), an innovative method that automates these crucial decisions.
PSO-UFS leverages the power of Particle Swarm Optim… Show more
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