A Comparison of Multivariate Adaptive Regression Spline and Spline Nonparametric Regression on Life Expectancy in Indonesia

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The MARS model significantly outperformed the Spline model, achieving a lower mean squared error of 1.183.
Key variables influencing life expectancy include housing access, safe drinking water, per capita expenditure, and the Gini ratio.
The study utilized data from the Indonesian Central Agency of Statistics in 2023 for a comprehensive analysis.
The findings indicate the need for government strategies prioritizing basic needs access and inequality reduction.

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Quantitative analysis shows MARS outperformed Spline regression for life expectancy in Indonesia, suggesting socioeconomic focus.

Pratama et al. (2025) studied this question.

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