Psychological Evaluation Of College Students: A Data Mining Approach Using C5.0 Algorithm

Document Type : Primary Research paper


Department of CSE P. A. College of Engineering and Technology,Pollachi


Students entering college have different characteristics, which can impact
their performance in the classroom. The college conducts the Intelligence Structure Test to
test the IQ of the students entering the campus. Till these days’ classification process is
done manually which takes long number of days. Data mining technique is used for
classifying the required patterns from the data set. C5.0 algorithm is used for
classification to minimize the time of psychologists in classifying data. This examination
comprised of 10 standards including 350 information and brought about yield as four sorts
of understudy's IQ order comprising of extremely unrivaled, predominant, better than
expected and normal classifications. In light of the test outcomes arrangement of
understudy IQs is acquired as 86%.


Volume 12, Issue 3 - Serial Number 3
ICMMNT-2021 International Virtual Conference on Materials, Manufacturing and Nanotechnology, 30th June, 2021.
June 2021
Pages 1636-1645