Classification Performance Enhancement for Students Realisation Model

Volume 17 , Issue 3 , September 2015 , Pages 225-234

Authors

¹ Software Engineering, College of Engineering, Salahaddin University

This research work aims at enhancing a classification task for student’s realisation model

at Salahadin University, Hawler, Kurdistan. 1000 records of data from different colleges

and departments at Salahadin University are collected to conduct this research work. The

collected data has been pre-processed, cleaned, filtered, normalized, then after, feature

selection techniques are applied to reduce the dimensionally of the data, finally a

classification task is carried out to find the realization of students. The results show that a

model of Support Vector Machine +Genetic Algorithm + Artificial Neural Network

produces promising results than other models.

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