UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 8 Issue 7
July-2021
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2107491


Registration ID:
312640

Page Number

d780-d785

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Title

Mental Stress Detection in Students using Machine Learning Algorithms

Abstract

Stress has become part of students’ academic life due to the various internal and external expectations placed upon their shoulders. The age that was considered once most carefree is now under an outsized amount of stress. Stress increase nowadays results in many problems like depression, suicide, attack, and stroke. In this paper, we are trying to calculating the mental stress of scholars one week before the semester exams and after the semester exams. Our objective is to research stress within the college students at different points in his life. The effect that exam pressure or recruitments stress has on the scholar which regularly goes unnoticed. Here we perform an analysis on how these factors affect the mind of a student and may also correlate this stress with the time spent on the online .The dataset was taken from college students and it consisted of 150 students data. Four classification algorithms linear regression, Naïve Bayes, Random Forest, and SVM is applied and sensitivity, specificity, and accuracy are used as a performance parameter. The accuracy and performance of knowledge are further enhanced by applying 10-Fold Cross-Validation. The absolute best accuracy recorded was by Support Vector Machine (85.71%).

Key Words

Classification algorithms: Linear Regression, Naïve Bayes, Random Forest, SVM; Mental Stress; Perceived Stress Scale; Sensitivity; and Specificity, Accuracy.

Cite This Article

"Mental Stress Detection in Students using Machine Learning Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 7, page no.d780-d785, July-2021, Available :http://www.jetir.org/papers/JETIR2107491.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Mental Stress Detection in Students using Machine Learning Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 7, page no. ppd780-d785, July-2021, Available at : http://www.jetir.org/papers/JETIR2107491.pdf

Publication Details

Published Paper ID: JETIR2107491
Registration ID: 312640
Published In: Volume 8 | Issue 7 | Year July-2021
DOI (Digital Object Identifier):
Page No: d780-d785
Country: Changanassery, Kerala, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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