Comparison of K-Means Clustering & Logistic Regression on University data to differentiate between Public and Private University

IJIIS : International Journal of Informatics and Information Systems

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Field Value
 
Title Comparison of K-Means Clustering & Logistic Regression on University data to differentiate between Public and Private University
 
Creator Estetikha, Adhien Kenya Anima
Gutama, Deden Hardan
Pradana, Musthofa Galih
Wijaya, Dhina Puspasari
 
Subject K-Means, Regression, Clustering
 
Description The development of advances in educational methods has developed in the last few decades. especially at the higher education level such as college. The rising interest of students in pursuing their higher education education has caused the sector to be split into two sectors, both private and public university. This difference raises several questions recently about how the two types differ in carrying out the educational process. whether there is a difference in terms of cost, service or quality, we really can't tell exactly. For this study, we will try to use the K-Means Clustering & Logistic Regression to group the University into two groups, Private and Public and then compare the two model accuracy. The results of this study show that the results obtained from the K-Means clustering model (22%) are much lower than the Logistic Regression model (91%).
 
Publisher Bright Publisher
 
Contributor
 
Date 2021-03-01
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier http://ijiis.org/index.php/IJIIS/article/view/74
10.47738/ijiis.v4i1.74
 
Source International Journal of Informatics and Information Systems; Vol 4, No 1: March 2021; 21-29
2579-7069
10.47738/ijiis.v4i1
 
Language eng
 
Relation http://ijiis.org/index.php/IJIIS/article/view/74/33
 
Rights Copyright (c) 2021 IJIIS: International Journal of Informatics and Information Systems
https://creativecommons.org/licenses/by-sa/4.0
 

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