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Showing 1 to 2 of 2 for “"univariate feature selection"”.
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A Review and Comparative Study on Univariate Feature Selection Techniques
… gives rise to a crucial technique, termed as feature selection, as the preprocessing strategy in extracting information and knowledge from dataset. As of 1997, feature selection has been extensively and intensively explored in both areas of statistics and machine learning, and it is still a …
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Towards a data-driven personalised approach to gestational diabetes care
… Classification and Regression Tree (CART)) using univariate feature selection and least absolute shrinkage and selection operation (LASSO) were compared. Synthetic Minority Oversampling Technique (SMOTE) was used to address the unbalanced data. Using a complete case analysis, 996 GDM complicated …