Abstract
In the research cluster based logistic regression model on student result, performance at computing department, and other demographics to predict whether or not student will annually enroll if admitted that help the campus administrators to manage registrations. In this study, deals with performance and analysis of examination results’ performance of students from computing department by also establishing general assessment. However, it cannot be stand-alone and only serves to compliment campus administrator of decision making procedure to manage registrations effectually. Predict students of educational performance are critical for scholastic departments because planned program can be scheduled in maintaining performance of students during their period of studies in departments. The demographic profile of students and fourth year of academic are used as predictor variable for performance of students educational in academic program.
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Soomro, N. et al. (2018). Cluster and Logistic Regression Distribution of Students’ Performance by Classification. In: Miraz, M., Excell, P., Ware, A., Soomro, S., Ali, M. (eds) Emerging Technologies in Computing. iCETiC 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 200. Springer, Cham. https://doi.org/10.1007/978-3-319-95450-9_18
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