Understanding university students’ fast food consumption behavior and associated health concern
This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.
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| Idioma: | English |
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BRAC University
2018
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| Acesso em linha: | http://hdl.handle.net/10361/10962 |
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10361-109622022-01-26T10:05:01Z Understanding university students’ fast food consumption behavior and associated health concern Chowdhury, Md. Ridowan Rahman, Md. Maruf Islam, Samiul Chaki, Dipankar Department of Computer Science and Engineering, BRAC University Fast food University students Consumption behaviour Health Machine learning. Cluster analysis. Computer algorithms. This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018. Cataloged from PDF version of thesis. Includes bibliographical references (pages 34-35). The aim of this research is to investigate the potential measurement of fast food consumption behaviour and the health hazard factor associated with it. Fast food consumption is getting more popular in Bangladesh, and we intend to capture the impact on the young generations. For this, we have drawn some questionnaires, gathered responses and tried to figure out the insightful information from this survey analysis using data-driven methods. A total of 170 university going students, of whom 122 were male (71.76%) and 48 were female (28.23%) constitute the sample of this research. We have analyzed the data with correlation analysis and chi-squared test to understand the behaviour of the features. Furthermore, we have used the K-means clustering algorithm to group students among their preferences while choosing a restaurant. In addition, we have used supervised machine learning models, Gaussian Naive Bayes, decision tree classifier (CART), Random forest classifier and Logistic regression to predict student’s fast food consumption rate where Naive Bayes performed best with 79.4% accuracy. The result draws a conclusion on university student’s health status and finds potential insights to fast food business. Md. Ridowan Chowdhury Md. Maruf Rahman B. Computer Science and Engineering 2018-12-04T08:23:56Z 2018-12-04T08:23:56Z 2018 2018 Thesis ID 14341010 ID 14301036 http://hdl.handle.net/10361/10962 en BRAC University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 35 pages application/pdf BRAC University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Fast food University students Consumption behaviour Health Machine learning. Cluster analysis. Computer algorithms. |
| spellingShingle |
Fast food University students Consumption behaviour Health Machine learning. Cluster analysis. Computer algorithms. Chowdhury, Md. Ridowan Rahman, Md. Maruf Understanding university students’ fast food consumption behavior and associated health concern |
| description |
This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018. |
| author2 |
Islam, Samiul |
| author_facet |
Islam, Samiul Chowdhury, Md. Ridowan Rahman, Md. Maruf |
| format |
Thesis |
| author |
Chowdhury, Md. Ridowan Rahman, Md. Maruf |
| author_sort |
Chowdhury, Md. Ridowan |
| title |
Understanding university students’ fast food consumption behavior and associated health concern |
| title_short |
Understanding university students’ fast food consumption behavior and associated health concern |
| title_full |
Understanding university students’ fast food consumption behavior and associated health concern |
| title_fullStr |
Understanding university students’ fast food consumption behavior and associated health concern |
| title_full_unstemmed |
Understanding university students’ fast food consumption behavior and associated health concern |
| title_sort |
understanding university students’ fast food consumption behavior and associated health concern |
| publisher |
BRAC University |
| publishDate |
2018 |
| url |
http://hdl.handle.net/10361/10962 |
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AT chowdhurymdridowan understandinguniversitystudentsfastfoodconsumptionbehaviorandassociatedhealthconcern AT rahmanmdmaruf understandinguniversitystudentsfastfoodconsumptionbehaviorandassociatedhealthconcern |
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