ANALYSIS OF FACTORS AFFECTING LIFE EXPECTANCY IN NORTH SUMATRA PROVINCE USING LASSO AND ADAPTIVE LASSO

Life expectancy is a measure used to evaluate the government's effectiveness in enhancing the overall well-being and health of the population. The life expectancy of a town is impacted by the educational attainment of its residents. LASSO regression is a variant of linear regression that incorporates an extra penalty term into the cost function. adjustable LASSO Regression is a modified version of this technique that incorporates adjustable weighting variables for each coefficient, enhancing its effectiveness.Multicollinearity, a condition of strong correlation between predictor variables, can complicate the identification of independent variables that have a significant impact. The LASSO and Adaptive LASSO are variable selection strategies used in multiple linear regression situations. The LASSO and Adaptive LASSO techniques are effective for identifying important variables and establishing the link between independent and dependent variables

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Journal
Jurnal Lebesgue Jurnal Ilmiah Pendidikan Matematika Matematika dan Statistika
Published
2024-08-08
DOI
https://doi.org/10.46306/lb.v5i2.692
Primary Topic
Insurance, Mortality, Demography, Risk Management
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article
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article

ANALYSIS OF FACTORS AFFECTING LIFE EXPECTANCY IN NORTH SUMATRA PROVINCE USING LASSO AND ADAPTIVE LASSO

Rini Halila Nasution, Alifiyani Tamimi
Jurnal Lebesgue Jurnal Ilmiah Pendidikan Matematika Matematika dan Statistika
Insurance, Mortality, Demography, Risk Management
article

ANALYSIS OF FACTORS AFFECTING LIFE EXPECTANCY IN NORTH SUMATRA PROVINCE USING LASSO AND ADAPTIVE LASSO

Rini Halila Nasution, Alifiyani Tamimi
article en

Abstract

Life expectancy is a measure used to evaluate the government's effectiveness in enhancing the overall well-being and health of the population. The life expectancy of a town is impacted by the educational attainment of its residents. LASSO regression is a variant of linear regression that incorporates an extra penalty term into the cost function. adjustable LASSO Regression is a modified version of this technique that incorporates adjustable weighting variables for each coefficient, enhancing its effectiveness.Multicollinearity, a condition of strong correlation between predictor variables, can complicate the identification of independent variables that have a significant impact. The LASSO and Adaptive LASSO are variable selection strategies used in multiple linear regression situations. The LASSO and Adaptive LASSO techniques are effective for identifying important variables and establishing the link between independent and dependent variables

Jurnal Lebesgue Jurnal Ilmiah Pendidikan Matematika Matematika dan StatistikaVol. 5(2)
Universitas Islam Negeri Sumatera Utara (ID)
Openalex Percentile: Top 74%
Insurance, Mortality, Demography, Risk Management
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