Work

Comparison of Regression Analysis with Machine Learning Supervised Predictive Model Techniques

Year: 2023

Type: article

Abstract: The happiness index is a parameter used to measure the level of happiness and well-being of people in a particular country or region. This research aims to determine the factors that contribute to people's happiness. In terms of modelling, this study will compare several regressions modelling using machine learning, including regression trees, random forests and Support Vector Regression (SVR). The SVR model has a minor error value in terms of MSE, RMSE and MAE compared to the other three models. The same thing happened when viewed from the value of R2 that the SVR model has an enormous value. This result indicates that SVR modelling is the best of the four models. A comprehensive policy is needed to increase a country's happiness index.

Source: Jurnal Ekonomi dan Statistik Indonesia

DOI: 10.11594/jesi.03.02.03

Authors: Pardomuan Robinson Sihombing, Sigit Budiantono, Ade Marsinta Arsani, Triana Mauliasih Aritonang, Mohamad Arif Kurniawan

Institutions: Badan Pusat Statistik, Politeknik Keuangan Negara STAN

Language: English

Topic: Data Mining and Machine Learning Applications

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: hybrid

OpenAlex ID: W4389314775

FWCI: 1.287

Cites: 10

Cited by: 7

Related to: 10