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Forecast Engineering Students Failure by Using …
International Journal of Advance Engineer ing and research Development (IJAERD) Volume 1,Issue 5,May 2014, e-ISSN: 2348 - 4470 , print-ISSN:2348-6406 @IJAERD-2014, All rights Reserved 1 Forecast Enginee ring Students Failure by Using Data Mining Techniques Komal S. Sahedani 1,Prof. B Supriya Reddy2 research Scholar, Department, University, komalsedani5@gma 2 Assistant Professor, Department, University, Abs tract:-This paper proposes to apply data mining techniques to predict Engineering Students Failure and dropout. We use real data on 951 Engineering Students from Rajkot, and employ classification methods, such as regression and decision trees. Experiments attempt to improve their accuracy for predicting which Students might fa il or dropout by first, us ing a ll the available attributes; next, selecting the best attributes.
International Journal of Advance Engineering and Research Development (IJAERD) Volume 1,Issue 5,May 2014, e-ISSN: 2348 - 4470 , print-ISSN:2348-6406
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