Stress Prediction of Professional Students using Machine Learning
Disha Sharma1, Sumit Chaudhary2
1Disha Sharma*, Computer Science Engineering, Chandigarh University, Gharuan (Mohali), Punjab, India.
2Dr. Sumit Chaudhary, Computer Science Engineering, Chandigarh University, Gharuan (Mohali), Punjab, India
Manuscript received on May 09, 2020. | Revised Manuscript received on May 15, 2020. | Manuscript published on June 30, 2020. | PP: 48-53 | Volume-9 Issue-5, June 2020. | Retrieval Number: E9251069520/2020©BEIESP | DOI: 10.35940/ijeat.E9251.069520
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: As the globalization, are expanding individuals twist towards the cutting-edge life Stress issue turns into a significant issue among in experts and understudies life. The term pressure is causing different mental issue face to face. Understudies of various courses and distinctive expert college are expanding ambushed with this pressure. The points of this examination are to research natural, social, mental and scholarly postgraduate and doctoral understudies. The quantity of tests of this investigation are 220 undergrad and postgraduate understudies. The information of my examination was gathered independent from anyone else – planned poll and by PSS Scale and the overview has organized inquiries which were gathered through google dox. There are many pressure expectation calculations has been proposed like SVM, KNN, RANDOM FOREST, NAVIE BAYES, LOGISTIC REGRESSION, DECISION TREE. Different machine learning methods are utilized that related in this field. Too, it talks about the application territories and difficulties for stress forecast with knowledge into the past research work.
Keywords: Stress, Prediction, classification, Machine learning, Questionnaires survey, weka tool.