DATA MINING TECHNIQUES FOR PREDICTING SCHOOL FAILURES AND DROPOUT
Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.3, No. 3)Publication Date: 2014-03-30
Authors : Mrs.KALPANA.N Dr.K.DAVID;
Page : 22-35
Keywords : Classification; educational data mining (EDM); Personality Test; Weka tool;
Abstract
In this paper we propose to apply data mining tech-unique to How to Improve Listening skill. We use real data on 100 students from Tamil Nadu College, such as induction rules and decision trees. In experiments, attempt to improve their accuracy for predicting which students Personality Test using all the available attributes. Next selecting the best attributes; and finally, rebalancing data and using cost sensitive classification. The outcomes have been compared and the models with the best results are shown.
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Last modified: 2014-03-08 20:20:03