One-way ANOVA.

<div><p>This study addresses the research objective of predicting global happiness and identifying its key drivers. We propose a novel predictive framework that integrates unsupervised and supervised machine learning techniques to uncover the complex patterns underlying happiness scores...

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Main Author:	Boxu Yang (12804791) (author)
Other Authors:	Xiang Xie (317801) (author)
Published:	2025
Subjects:	Medicine Biotechnology Sociology Science Policy Biological Sciences not elsewhere classified Information Systems not elsewhere classified xgboost &# 8212 various determinants examined three distinct groups r &# 178 influential factors contributing improving public well group countries based include clustering information world happiness report novel predictive framework predicting global happiness predicting happiness global happiness predictive performance methodological framework means clustering happiness scores happiness patterns happiness index xlink "> using data subsequently incorporated study addresses social support significant improvement research objective random forests policymakers seeking low ). key drivers integrates unsupervised gdp emerge first time cluster assignments approximate 12 apply k analysis reveals additional features
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One-way ANOVA.

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