Predicting the Outcome of H-1B Visa Applications

In our project, we aim to predict the outcome of H-1B visa applications that are filed by many high-skilled foreign nationals every year. We framed the problem as a classification problem and applied Naive Bayes, Logistic Regression, SVM and Neural Network in order to output a predicted case status of the application. The input to our algorithm is the attributes of the applicant which will be further explained in the following parts.