Heart disease is predicted by classification technique. The data mining tool WEKA has been utilized for implementing J48 classifier. Proposed work is framed with a specific end goal to enhance the execution of models. For improving the classification accuracy J48 is combined with Bagging and Feature Selection. Trial results demonstrated a critical change over in the current J48 classifier. This approach enhances the classification accuracy and reduces computational time.

Data mining, Heart diseases, WEKA, classification, J48, Bagging

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