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RFE combines a dimensionality reduction process with a machine learning process where the least important features are iteratively removed until the best feature subset is obtained, while the PSO ...
After analyzing 17,408 instances, recursive feature elimination (RFE) is employed for dimensionality reduction. The reduced dataset undergoes support Vector machine (SVM) classification, achieving an ...