Dispersion Ratio based Decision Tree Model for Classification

Smita Roy, Samrat Mondal, Asif Ekbal, Maunendra Sankar Desarkar

Abstract: Highlights•Here Dispersion Ratio is proposed to identify splitting attribute in Decision Trees.•The proposed method works for any type of variable: categorical, nominal, continuous.•Efficient discretization method is proposed for continuous features.•Has no bias towards features with more distinct values like many other methods.•Extensive evaluation and analysis is performed on a large number of datasets.