Predictive Analysis on University Dropout Rate of Bangladesh in Covid-19

The hard times of COVID 19 have shown mankind some harsh reality. Numerous sectors including education have been terribly victimized by the grasp of the pandemic. Schools, colleges, and universities were closed down for enumerable days and the students were detached from their studies. The dropout rate from university for the students owing to financial and circumstantial facts has been a vital concern. In our research, we conduct an effective study on the dropout rate of university students. We try to find out the inherent reasons for their dropout and try to come up with an effective solution. By an online survey, we have collected data from 422 Bangladeshi undergraduate students. After training and testing the dataset with several popular algorithms such as SVM, Logistic regression, Random Forest, Decision Tree, etc., the best methods for predicting dropout among Bangladeshi undergraduates were discovered.