Predicting Factors Of Students Dissatisfaction For Retention

Education sector became challenging as well as competitive due to the huge availability of institutions worldwide. This increases students drop out at an alarming rate. Most of the dropout is due to dissatisfaction of the students. This paper investigates the reasons of students dissatisfaction from a feedback of a university student using Descriptive Statistics, Logistic Regression Analysis and some data mining techniques such as Naive Bayes, Logistic Regression and Random Forest and found relationship exists between student dissatisfaction and student retention. Our study also found that, a high level of dissatisfaction of the students is mostly due to the cafeteria services and extra-curricular activities. They are moderately dissatisfied due to quality lecture and Lab Facilities. Our analysis has also shown that, overall, students are satisfied, but mostly they do not want to recommend others for this university. On the basis of the result, we then recommended some issues to be fulfilled for student retention.