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- Obesity Level Estimation Software based on Decision Trees
Obesity Level Estimation Software based on Decision Tr ees 1 Eduardo De-La-Hoz-Correa, 2 Fabio E Mendoza-Palechor, 2 Alexis De-La-Hoz-Manotas, 2 Roberto C Morales-Ortega and 2 Sánchez
- Obesity Level Estimation Software based on Decision Trees
Obesity Level Estimation Software based on Decision Trees 1Eduardo De-La-Hoz-Correa, 2Fabio E Mendoza-Palechor, 2Alexis De-La-Hoz-Manotas, 2Roberto C Morales-Ortega and 2Sánchez Hernández Beatriz Adriana 1Corporación Universitaria Americana, Colombia 2Universidad de la Costa, Colombia Article history Received: 20-06-2018 Revised: 20-11-2018
- Obesity Level Estimation Software based on Decision Trees
Journal of Computer Science Original Research Paper Obesity Level Estimation Software based on Decision Trees 1 Eduardo De-La-Hoz-Correa, 2Fabio E Mendoza-Palechor, Alexis De-La-Hoz-Manotas, 2Roberto C Morales-Ortega and 2Sánchez Hernández Beatriz Adriana 2 1 Corporación Universitaria Americana, Colombia Universidad de la Costa, Colombia 2
- Obesity Level Estimation Software based on Decision Trees
Obesity Level Estimation Software based on Decision Trees 1Eduardo De-La-Hoz-Correa, 2Fabio E Mendoza-Palechor, 2Alexis De-La-Hoz-Manotas, 2Roberto C Morales-Ortega and 2Sánchez Hernández Beatriz Adriana 1Corporación Universitaria Americana, Colombia 2Universidad de la Costa, Colombia Article history Received: 20-06-2018 Revised: 20-11-2018
- Estimation of obesity levels based on computational intelligence
In the article “Obesity Level Estimation Software based on Decision Trees” [14], the authors presented 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; they labelled the records
- Obesity Level Estimation Software based - Academia. edu
Journal of Computer Science Original Research Paper Obesity Level Estimation Software based on Decision Trees 1 Eduardo De-La-Hoz-Correa, 2Fabio E Mendoza-Palechor, Alexis De-La-Hoz-Manotas, 2Roberto C Morales-Ortega and 2Sánchez Hernández Beatriz Adriana 2 1 Corporación Universitaria Americana, Colombia Universidad de la Costa, Colombia 2
- Estimation of Obesity Levels Based on Decision Trees
In recent decades, there has been increasing concern about obesity in adolescents and adults Obesity can cause many physical health problems and affect people’s quality of life So people are starting to look at the factors that lead to obesity and predict the emergence of obesity This research presents an estimation of obesity levels based on eating habits, physical condition, and other
- Estimation of obesity levels based on dietary habits and . . .
The authors in Ref [8] presented a software for obesity estimation based on the SEMMA data mining methodology, using machine learning techniques: decision trees (DT), Bayesian networks and logistic regression (LR) The data used were the product of a study in Colombia, Mexico and Peru, in which 712 university students aged between 18 and 25
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