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Estimation of Obesity Levels Based On Eating Habits and Physical Condition

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This dataset include data for the estimation of obesity levels in individuals from the countries of Mexico, Peru and Colombia, based on their eating habits and physical condition. This dataset include data for the estimation of obesity levels in individuals from the countries of Mexico, Peru and Colombia, based on their eating habits and physical condition. The data contains 17 attributes and 2111 records, the records are labeled with the class variable NObesity (Obesity Level), that allows classification of the data using the values of Insufficient Weight, Normal Weight, Overweight Level I, Overweight Level II, Obesity Type I, Obesity Type II and Obesity Type III. 77% of the data was generated synthetically using the Weka tool and the SMOTE filter, 23% of the data was collected directly from users through a web platform. Variables Info: Read the article (https://doi.org/10.1016/j.dib.2019.104344) to see the description of the attributes. Class labels: Insufficient Weight, Normal Weight, Overweight Level I, Overweight Level II, Obesity Type I, Obesity Type II, and Obesity Type III
Subject Area
Health and Medicine
Instances
2,111
Features
16
Data Types
Multivariate
Tasks
Classification, Regression, Clustering
Feature Types
Integer

Features

NameRoleTypeUnitsMissing ValuesDescription

Additional Metadata

Keywords
Authors
Year Created
2019
License
CC BY 4.0