Mobile Screen Addiction Using Addictive Attribute by Combination of Algorithm-In Addiction Disorder
Dublin Core
Title
Mobile Screen Addiction Using Addictive Attribute by Combination of Algorithm-In Addiction Disorder
Subject
Data Science, Gradien Booster, logistic regression, Pyplot.
Description
Mobile Screen spent by teenage who use lot of time on screen experience psychiatric problems such as frustration, fatigue, depression, anxiety, and so on. Matplotlib pyplot with histogram figure is used to evaluate the psychiatric condition data (CSV file). For the purpose of rating the condition data, the standard deviation and mean are determined. For data analysis, there is a correlation matrix that compares every row and column. Gradient Booster, Logistic Regression, Knn algorithm is used to compare the precision of the machine learning process, which merged the characteristics of addictive and non-addictive data to find rating disorders.
Creator
G. Baby Saral
R. Priya
Source
International Journal of Interactive Mobile Technologies (iJIM); Vol. 17 No. 04 (2023); pp. 144-151
1865-7923
Publisher
International Association of Online Engineering (IAOE), Vienna, Austria
Date
2023-02-23
Rights
Copyright (c) 2023 G. Baby Saral, R. Priya
https://creativecommons.org/licenses/by/4.0
Relation
Format
application/pdf
Language
eng
Type
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Non-refereed Article
Identifier
Citation
G. Baby Saral and R. Priya, Mobile Screen Addiction Using Addictive Attribute by Combination of Algorithm-In Addiction Disorder, International Association of Online Engineering (IAOE), Vienna, Austria, 2023, accessed November 22, 2024, https://igi.indrastra.com/items/show/2504