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 September 25, 2024, https://igi.indrastra.com/items/show/2504

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