STRESS LEVEL PREDICTION USING MACHINE LEARNING

Volume 20 No 7 (2022)

Prof. Swati Tyagi, Prashant Malkoti, Srishti Kandpal

DOI: 10.14704/nq.2022.20.7.NQ33236

Abstract

In this modern world where life is accelerated with top speed stress become very usual in mass. No age group of people is unaffected with this problem even study says that college going students are more prone to stress due to various factors. Predicting stress merely with few physical features is not easy and delays in precautions and remedies. Hence various ways have been used by researchers to predict stress. Through this paper we are putting efforts to contrast various studies made on stress prediction using machine learning. Best technique according to accuracy and prominent factors of stress specially in college/university students

Keywords

Stress, machine learning, SVM(support vector machine), Nave-Bayes, Random Forest

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