Machine Learning Techniques for Classification of Stress Levels in Traffic

The aim of this study is to apply Machine Learning techniques for predicting and classifying the stress level of people commuting from home to work and also to evaluate the performance of prediction models using feature selection. The database was obtained through a structured questionnaire with 44...

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Bibliographic Details
Main Authors: Amanda Trojan Fenerich, Egídio José Romanelli, Rodrigo Eduardo Catai, Maria Teresinha Arns Steiner
Format: Article
Language:English
Published: Universidade Federal de Pernambuco (UFPE) 2024-06-01
Series:Socioeconomic Analytics
Subjects:
Online Access:https://periodicos.ufpe.br/revistas/index.php/SECAN/article/view/262686
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