In FY 2016, the OFLC processed 775,979 employer applications for 1,699,957 positions for temporary and permanent labor certifications. This was a nine percent increase in the overall number of processed applications from the previous year. The process of reviewing every case is becoming a tedious task as the number of applicants is increasing every year.

The increasing number of applicants every year calls for a Machine Learning based solution that can help in shortlisting the candidates having higher chances of VISA approval.

Logistic Regression Decision Tree Classifier RandomForest Classifier Bagging Classifier XGBoost Classifier

RandomForest Classifier with an accuracy of 74% and F1 score of 82%.