Article

Comparative Efficacy of Statistical Learning and Ensemble Methods for Multivariate Obesity Condition Classification

2026-06-30

Abstract excerpt

Obesity is a major problem worldwide, particularly in Latin countries such as Mexico, Peru and Colombia. This study aims to evaluate five models (XGBoost, Random Forest, Multinomial Logistic Regression, Linear Discriminant Analysis (LDA) and Support Vector Machines (SVM)) from the statistical and machine learning fields to determine which of them is the most effective in classification of obesity levels in a multi...

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Literature Corpus work: 0b84d78e-1699-52ff-aa0d-0df356bc4b58
DOI: 10.20944/preprints202606.2154.v1

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