An analysis on the effects of parenting style on offspring’s behavior using machine learning
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.
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| Langue: | English |
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Brac University
2023
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| Accès en ligne: | http://hdl.handle.net/10361/21780 |
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10361-217802023-10-15T10:55:08Z An analysis on the effects of parenting style on offspring’s behavior using machine learning Akter, Nasrin Mostakim, Moin Reza, MD Tanzim Department of Computer Science and Engineering, Brac University Parenting style Attachment style Stress handling Anger management Depression Anxiety SVM KNN RF Decision tree XGBoost Interpersonal relations Computer programming This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022. Cataloged from PDF version of thesis. Includes bibliographical references (pages 44-45). Parents are usually the most important person for a human being as they encourage and support an offspring’s physical, emotional, social, and intellectual development from infancy to maturity. An individual faces various challenges as they grow up. Proper parenting plays a prominent role in handling and abating those challenges. This paper aims to show various consequences on the attachment style and handling of depression, anxiety, stress, anger due to different types of parenting style. These consequences of parenting styles are to be figured out in an automated way so that one can acknowledge these factors on their own and bring various positive changes to their parenting. The term ”parenting style” refers to a collection of tactics that have various effects on children. These methods can have an impact on children’ minds that lasts long into adulthood, both positively and negatively. This research makes use of machine learning algorithms in order to differentiate between various parenting styles through various aspects of their life such as stress, anxiety, depression, attachment style, anger management etc. The lack of publicly accessible data prompted us to compile my own data set, which consisted of 2206 survey responses from students(school, college, university). Afterward, the survey data was stored and pre-processed. Then, machine learning algorithms such as Decision Tree, XG-BOOST, KNN, Support Vector Machine and Random Forest are utilized to detect parenting style by analyzing the effects of parenting on their offspring and the accuracy of these models are 84.70%, 76.71%, 87.30%, 87.30% and 85.185% sequentially. Nasrin Akter B.Sc. in Computer Science 2023-10-12T04:17:03Z 2023-10-12T04:17:03Z ©2022 2022-12-04 Thesis ID 18301252 http://hdl.handle.net/10361/21780 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. 45 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Parenting style Attachment style Stress handling Anger management Depression Anxiety SVM KNN RF Decision tree XGBoost Interpersonal relations Computer programming |
| spellingShingle |
Parenting style Attachment style Stress handling Anger management Depression Anxiety SVM KNN RF Decision tree XGBoost Interpersonal relations Computer programming Akter, Nasrin An analysis on the effects of parenting style on offspring’s behavior using machine learning |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022. |
| author2 |
Mostakim, Moin |
| author_facet |
Mostakim, Moin Akter, Nasrin |
| format |
Thesis |
| author |
Akter, Nasrin |
| author_sort |
Akter, Nasrin |
| title |
An analysis on the effects of parenting style on offspring’s behavior using machine learning |
| title_short |
An analysis on the effects of parenting style on offspring’s behavior using machine learning |
| title_full |
An analysis on the effects of parenting style on offspring’s behavior using machine learning |
| title_fullStr |
An analysis on the effects of parenting style on offspring’s behavior using machine learning |
| title_full_unstemmed |
An analysis on the effects of parenting style on offspring’s behavior using machine learning |
| title_sort |
analysis on the effects of parenting style on offspring’s behavior using machine learning |
| publisher |
Brac University |
| publishDate |
2023 |
| url |
http://hdl.handle.net/10361/21780 |
| work_keys_str_mv |
AT akternasrin ananalysisontheeffectsofparentingstyleonoffspringsbehaviorusingmachinelearning AT akternasrin analysisontheeffectsofparentingstyleonoffspringsbehaviorusingmachinelearning |
| _version_ |
1814309661597237248 |