Predicting satisfaction with democracy in Brazil considering data form an opinion survey
Douglas Martins de Souza Rosa,
Bruno Samways Dos Santos,
Rafael Henrique Palma Lima
Abstract:Purpose – This article compared machine learning algorithms in the context of satisfaction with democracy in Brazil. The models were trained with data from the Latinobarómetro survey, a private non-profit institution.
Theoretical foundation – The Support Vector Classifier (SVC), Random Forest (RF), and Artificial Neural Networks (ANN) classification techniques were described, followed by evaluation metrics, such as accuracy, precision, recall, f1-score and the area under a receiver operating characteristic (au… Show more
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