Classification and prediction of obesity levels among subjects in Colombia, Peru, and Mexico using unsupervised and supervised learning

Classification and prediction of obesity levels among subjects in Colombia, Peru, and Mexico using unsupervised and supervised learning

This research investigates the multifaceted relationship between various factors and obesity rates in Mexico, Peru, and Colombia using a publicly available dataset. Through Python, the study employs classification and clustering analyses, focusing on logistic regression to predict obesity levels a...

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Bibliographic Details
Main Authors: Suhaila, Bahrom, Anuar, Ab Rani, Aisyah Amalina, Mohd Noor
Format: Article
Language:English
Published: Zenodo 2024
Subjects:
QA Mathematics
QA76 Computer software
Online Access:http://umpir.ump.edu.my/id/eprint/42159/
http://umpir.ump.edu.my/id/eprint/42159/1/Classification%20and%20Prediction%20of%20Obesity%20Levels%20among%20Subjects%20in%20Colombia%2C%20Peru%2C%20and%20Mexico%20Using%20Unsupervised%20and%20Supervised%20Learning.pdf

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