Hybrid classification model of correlation-based feature selection and support vector machine

Abstract

In this paper, we propose a hybrid classification model, which has correlation based filter feature selection algorithm and support vector machine as a classifier. In this method, features are ordered according to their Absolute correlation value with respect to the class attribute. Then top K Features are selected from ordered list of features to form a… (More)

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