This research presented two models for classifying data on graduates in general, and data on some specializations in particular, by employment status (employed, unemployed). This was through applying machine learning algorithms to data from the Labor Force Survey carried out by the Palestinian Central Bureau of Statistics.
The researcher created a classification model using five different algorithms - Random Forest, DT, XGBoost, KNN, and AdaBoost for graduate data in general, and three algorithms were applied to classify the data according to university specialization.