Classification Using Naïve Bayes and Decision Tree on Food Addiction

Adriyendi,

doi:10.14257/ijdta.2016.9.3.17

IJDTA

2016

DOI: 10.14257/ijdta.2016.9.3.17

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Classification Using Naïve Bayes and Decision Tree on Food Addiction

Adriyendi Adriyendi¹

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2021

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Cited by 1 publication

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Food Choices and Their Impact on Health and Environment

et al. 2021

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Food choices are complex and highly variable, even over short periods, as they are influenced by numerous psychological, social, and cultural factors, in addition to biological and economic ones. Consumer choices are increasingly complex because of the growing quantity and variety of available food products, which also affects individuals’ environments. This paper is part of a larger study on health-related food choices, and it discusses how food choices affect the environment. To achieve the research goal, classes of respondents that are homogeneous in their food choices were identified. The authors used an algorithm to build classification trees and found that health status is determined by respondents’ age and food consumption habits. The paper demonstrates that understanding individual nutritional choices is a prerequisite for changing consumption habits and shaping healthy behavior, which is in line with the principle of sustainable development through sustainable consumption. The findings are relevant to public health researchers and practitioners who wish to understand the relationship between nutritional practices and health in line with sustainable development.

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Food Choices and Their Impact on Health and Environment

et al. 2021

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Classification Using Naïve Bayes and Decision Tree on Food Addiction

Abstract: In

Cited by 1 publication

References 11 publications

Food Choices and Their Impact on Health and Environment

Food Choices and Their Impact on Health and Environment

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