A Machine Learning Approach for Forecasting US Presidential Election
نویسندگان
چکیده
منابع مشابه
Modeling and forecasting US presidential election using learning algorithms
The primary objective of this research is to obtain an accurate forecasting model for the US presidential election. To identify a reliable model, artificial neural networks (ANN) and support vector regression (SVR) models are compared based on some specified performance measures. Moreover, six independent variables such as GDP, unemployment rate, the president’s approval rate, and others are co...
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1 National School of Tropical Medicine and Department of Pediatrics and Molecular Virology & Microbiology at Baylor College of Medicine, Houston, Texas, United States of America, 2 Sabin Vaccine Institute and Texas Children’s Hospital Center for Vaccine Development, Houston, Texas, United States of America, 3 American Society of Tropical Medicine and Hygiene, Deerfield, Illinois, United States ...
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ژورنال
عنوان ژورنال: Advances in Social Sciences Research Journal
سال: 2020
ISSN: 2055-0286
DOI: 10.14738/assrj.710.9210