Abstract
In order to make the features selected are distributed intensively in a certain class ,evenly in that certain class as much as possible, and make features appear in that certain class as many as possible , three adjusted parameters are added to the originally traditional CHI-square feature selection method through analyzing the relevance between features and classes. Var-CHI statistic method based on variance makes the precision and recall improved apparently by comparing the experiments of the traditional CHI-square feature selection method and the improved one.
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