PREDICTING AND ANALYSING PREDICTING JOB SEEKING DECISIONS OF STUDENTS TAKING PROFESSIONAL COURSES

Abstract

This study is conducted to analyse how some particular factors affect the job seeking decisions of candidates enrolled in enrolled in a professional training course and prepare a predictive model to predict whether a candidate who has enrolled in a training course is seeking employment with any firm or not. Primary data of 155 participants was collected through a structured questionnaire. Multiple models based on different classification algorithms were created and compared to find the most accurate one. The results indicated that the SMOTE Logistic Regression was most accurately predicting the class labels of the target variable, i.e., whether the person is ‘job-seeker’ or ‘non-job seeker’, with an accuracy score of 72.4%.