Skip to main content
Article
ASSESSMENT OF DECISION TREE ALGORITHMS ON STUDENT’S RECITAL
International Research Journal of Engineering and Technology (IRJET) (2017)
  • A Arundthathi
  • G Vijayaselvi
  • V Savithri
Abstract
Data mining is a dominant progression to forecast upcoming behaviors. Data Mining is used in various domains and disciplines to solve an existing problem or to envisage comportments. The different Data mining techniques are Clustering, Association, Classification, Regression and Structured Prediction. Classification is a most important task of simplifying dataset. Decision tree method is commonly used in Classification technique. Decision tree model is represented by branch and nodes. There are several Decision tree algorithms to contrivance in data mining tools. The objective of this study is to compare the most frequently used Decision tree algorithms in various domains and holds the good in predicting the best decision tree algorithm. Educational dataset is implemented to find the accuracy of the Decision tree algorithms and to predict the student’s performance level. This research provides an idea to educators on student progress level.
Keywords
  • Classification,
  • Decision Stump,
  • Decision Tree algorithms,
  • J48,
  • Hoeffding Tree,
  • Random Forest,
  • Random Tree,
  • REPTree
Publication Date
Spring March 1, 2017
Publisher Statement
Published
Citation Information
A Arundthathi, G Vijayaselvi and V Savithri. "ASSESSMENT OF DECISION TREE ALGORITHMS ON STUDENT’S RECITAL" International Research Journal of Engineering and Technology (IRJET) Vol. 04 Iss. 03 (2017) p. 2342 - 2348 ISSN: 2395-0072
Available at: http://works.bepress.com/a-arundthathi/1/