Authors propose adapting Penguin Search Optimization into FS-PeSOA for feature selection, planning evaluation on UCI datasets using Random Forest, Nearest Neighbor, and SVM classifiers.
S., Chakraborty, S., & Kairi, A
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A Study and Analysis of a Feature Subset Selection Technique using Penguin Search Optimization Algorithm (FS-PeSOA)
Authors propose adapting Penguin Search Optimization into FS-PeSOA for feature selection, planning evaluation on UCI datasets using Random Forest, Nearest Neighbor, and SVM classifiers.