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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| 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
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| Series: | Socioeconomic Analytics |
| Subjects: | |
| Online Access: | https://periodicos.ufpe.br/revistas/index.php/SECAN/article/view/262686 |
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