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dc.contributor.authorNatividad Gómez, Patricia
dc.contributor.authorOtiniano Quispe, Milton
dc.contributor.authorNatividad Gómez, Patricia
dc.date.accessioned2021-08-17T03:07:59Z
dc.date.accessioned2022-02-22T12:15:35Z
dc.date.available2021-08-17T03:07:59Z
dc.date.available2022-02-22T12:15:35Z
dc.date.issued2021-07
dc.identifier.isbn978-958-52071-8-9
dc.identifier.issn2414-6390
dc.identifier.otherhttp://laccei.org/LACCEI2021-VirtualEdition/meta/FP303.html
dc.identifier.urihttp://dx.doi.org/10.18687/LACCEI2021.1.1.303
dc.identifier.urihttp://axces.info/handle/10.18687/20210101_303
dc.description.abstractThe objective of this article is to achieve a statistical analysis of the data from the World Happiness Report and its relationship with the economic income of the countries, as well as to identify that variables other than the economic one (GDP) affect happiness. The approach uses research methodology, and uses Machine Learning techniques to generate models that represent the function to predict the happiness score or category of a country, as well as a hypothesis test. The results determine that there is a positive relationship between economic income and happiness, but up to a certain level the relationship is marginal, and that there are other aspects such as those related to social factors that are decisive to establish the degree of happiness in a country.en_US
dc.language.isoEnglishen_US
dc.publisherLACCEI Inc.en_US
dc.rightsLACCEI License
dc.rights.urihttps://laccei.org/blog/copyright-laccei-papers/
dc.subjectHappinessen_US
dc.subjectWorld Happiness Reporten_US
dc.subjectGDPen_US
dc.subjectCountry economyen_US
dc.subjectPythonen_US
dc.subjectMachine learningen_US
dc.titleRelevant factors that intervene in world happiness, analysis of countries with high happiness and low GDP.
dc.typeArticleen_US
dc.description.countryPeruen
dc.description.institutionUniversidad Privada del Norteen
dc.description.trackI.T, Telecom, Soft. Eng, IoT, Ind. 4.0, Forensic Informatics, Security, Cybersecurity and Comp toolsen
dc.journal.referatopeerReview


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  • 2021 LACCEI - Virtual Edition
    The Nineteenth LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology.

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