Stress factors identification and comparative study of stress levels among undergraduate students

Abstract

Stress has become a part of the academic life of the students, thanks to the different internal and external demands put on their shoulders constantly. Excessive and protracted stress has consequences that transcend pure dedication to health by causing various diseases, and it’s well-known that such stress-related somatic events can affect the standard of life of the students. Many criteria are wont to categorize stress, and this results in many terms for different varieties of stress. We basically focus on the academic stress during this study, and that we are especially inquisitive about measuring the level of the stress and understanding the tutorial background. Using supervised machine learning algorithms and feature extraction methods to find out the classification accuracy of stress factors that students are going through in their university life. We will also present a comparative analysis of the stress level between students in first year and students in fourth year. So as to live the strain we have got used two kinds of scale, one is PSS another one is modified PAS in order to calculate stress level accurately.