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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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Zenodo
2024
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| Subjects: | |
| Online Access: | 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 http://umpir.ump.edu.my/id/eprint/42159/ https://doi.org/10.5281/zenodo.12791087 |
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Internet
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.pdfhttp://umpir.ump.edu.my/id/eprint/42159/
https://doi.org/10.5281/zenodo.12791087