PREDICTION ANALYSIS OF STUDENT LOAN REPAYMENT RATE

A student, during his college education, incurs a significant amount of debt. The student's repayment rate can vary according to the institution. There are various factors which depends on different institutes. Factors like features of institution and the earnings of the student after graduating play an important role. This project tries to realize to what extent these factors predict the student's debt repayment. As a guideline, accuracy of the prediction system, which is assessed using RMSE (Root Mean Squared Error), should be a maximum of 10-11 on the hold-out from the training data.