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Comparison of Data Mining Classification Method for Predicting Crop Water Requirement

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  • Navtej Bhatt
  • P.V.Virparia

Abstract

In this paper, we have compared different data mining classification algorithm. Out of many decision tree algorithm, we have selected J48, DecisionStump, RAPTree and RandomTree. All the information we have collected from our study area are first preprocessed and it is converted into ARFF file. We have used open source tool Weka for comparison and presented the result. Based on the result, we have concluded that RandomTree gives best performance on our Data.

Suggested Citation

  • Navtej Bhatt & P.V.Virparia, 2018. "Comparison of Data Mining Classification Method for Predicting Crop Water Requirement," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 3(5), pages 34-40, April.
    • Handle: RePEc:jbh:ijsrcs:v3:y2018:i5:id:hcseit183345
    Note: Article URL: https://ijsrcseit.com/CSEIT183345
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