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A Decision Tree Based Classifier for Classification & Prediction of Diseases


Prof. Gajendra Singh , SSSIST Sehore; Bhupendra Patidar, SSSIST Sehore


decision trees, greedy approach, information gain.


In this paper, we are proposing a modified algorithm for classification. This algorithm is based on the concept of the decision trees. The proposed algorithm is better then the previous algorithms. It provides more accurate results. We have tested the proposed method on the example of patient data set. Our proposed methodology uses greedy approach to select the best attribute. To do so the information gain is used. The attribute with highest information gain is selected. If information gain is not good then again divide attributes values into groups. These steps are done until we get good classification/misclassification ratio. The proposed algorithms classify the data sets more accurately and efficiently.

Other Details

Paper ID: IJSRDV1I5003
Published in: Volume : 1, Issue : 5
Publication Date: 01/08/2013
Page(s): 1060-1062

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