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Machine Learning Technique to Predicting Student Performance in Higher Education

Jyoti Upadhyay, Dr. PratimaGautam


One of the famous and practical methods for inductive implication over directed data is Decision Tree learning. Decision tree is suitable to classifying categorical data using attributes of database. In this paper educational data mining has been used on qualitative data of students and analysis their performance using c4.5 decision tree algorithm.

The results indicate that student’s performance also influenced by qualitative data. Acquired knowledge in form of tree is easy to assimilate by users.


Decision Tree, Learning, Prediction, Qualitative Data

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