ESTIMATION OF MAXIMUM LIKELIHOOD WEIGHTED LOGISTIC REGRESSION USING GENETIC ALGORITHM (CASE STUDY: INDIVIDUAL WORK STATUS IN MALANG CITY)

ESTIMATION OF MAXIMUM LIKELIHOOD WEIGHTED LOGISTIC REGRESSION USING GENETIC ALGORITHM (CASE STUDY: INDIVIDUAL WORK STATUS IN MALANG CITY)

Weighted Logistic Regression (WLR) is a method used to overcome imbalanced data or rare events by using weighting and is part of the development of a simple logistic regression model. Parameter estimation of the WLR model uses Maximum Likelihood estimation. The maximum likelihood parameter estimator...

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Bibliographic Details
Main Authors: Dahlia Gladiola Rurina Menufandu, Rahma Fitriani, Eni Sumarminingsih
Format: Article
Language:English
Published: Universitas Pattimura 2023-04-01
Series:Barekeng
Subjects:
genetic algorithm
weighted logistic regression
Online Access:https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/7633
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