A new univariate feature selection algorithm based on the best–worst multi-attribute decision-making method
Dharyll Prince M. Abellana, Demelo M. Lao Abstract With the extensive applicability of machine learning classification algorithms to a wide spectrum of domains, feature selection (FS) becomes a relevant data preprocessing technique due to the high dimensionality of data used in these domains. While efforts have been made to study various filters for ranking features, scholars have paid little attention to developing a unified framework that can...
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