Logistic regression can be mapped equivalent to artificial neural network (ANN) without hidden layer with logistic as activation function, hence logistic regression is subset of ANN. The result study on binary and poly-chotomous response data show that parameter estimation values of ANN and logistic regression are similar. In comparison with ANN, logistic regression has standard procedure for estimation and testing parameter.Keyword : logistic regression, generalized linear model, artificial neural network, activation function, hidden layer

Published by Universitas Negeri Yogyakarta
Journal Name Pythagoras : Jurnal Pendidikan Matematika
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Location Kab. sleman, Daerah istimewa yogyakarta INDONESIA
Website pythagoras| https://journal.uny.ac.id/index.php/pythagoras|
ISSN ISSN : 19784538, EISSN : 2527421X, DOI : 10.21831,
Core Subject Education,
Meta Subject Education, Mathematics,
Meta Desc
PenulisDjuraidah, Anik
Publisher ArticleDepartment of Mathematics Education, Faculty of Mathematics and Natural Sciences, UNY
Subtitle Article Pythagoras: Jurnal Pendidikan Matematika Vol 3, No 1: Juni 2007
Scholar Googlehttp://scholar.google.com/scholar?q=%2Bintitle%3A&…
View Articlehttps://journal.uny.ac.id/inde…
DOIhttps://doi.org/10.21831/pg.v3i1.64…
DOI Number DOI: 10.21831/pg.v3i1.642
Download Article [1] https://journal.uny.ac.id/index.php/pyth…
Download Article [2] http://download.garuda.ristekdikti.go.id…

 

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