Predictive Analysis for Student Retention by Using Neuro-Fuzzy Algorithm

The proliferation of mining techniques from diverse field of computing has drawn its impact on Educational Data Mining. The field itself has gained conspicuous attention of researchers who are engaged in predicting the student attrition and retention rate in educational institution in order to higher their rank. To achieve same goal, we have performed our analysis by choosing Adaptive Network based Fuzzy Inference System (ANFIS) algorithm that proven capable of predicting the student attrition rate in a Private University of Pakistan. With the help of experiments, we became able to predict the attrition rate and obtained the correlation among 5 input parameters that helps the students to improve their grades and administration of the university to improve their retention rate in near future.