COST-CONSTRAINED FEATURE SELECTION IN BINARY CLASSIFICATION: ADAPTATIONS FOR GREEDY FORWARD SELECTION AND GENETIC ALGORITHMS

Cost-Constrained feature selection in binary classification: adaptations for greedy forward selection and genetic algorithms

Abstract Background With modern methods in biotechnology, the search for biomarkers has advanced to a challenging statistical task exploring high dimensional data sets.Feature selection is a widely researched preprocessing step to handle huge numbers of biomarker candidates and has special importance for the analysis of biomedical data.Such data se

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