[PDF] Modeling and forecasting US presidential election using - EconStor
The primary objective of this paper is to model and forecast the United States presidential election via the usage of learning algorithms Political and economic
An Algorithm for Estimating Turnout as a Guide to Predicting Elections
Crespi's (1988) study of 423 preelection polls found them to be quite inaccurate, missing the actual division of the vote by almost 6 percent- age points on
[PDF] Analyzing Political Opinions and Prediction of Voting - CORE
In this paper, we aim to identify the political preferences and tendency of the US populations using classification and data mining techniques To provide the
Utilizing Learning Algorithms to Improve News - CORE
Improving Electoral Predictions with Learning Algorithms 16 candidates for election forecasts, and specifically the role of polling data regarding issues
[PDF] 2020 Presidential Election Model - Moodys Analytics
2 sept 2019 · The models predict whether the incumbent presidential candidate will win the popular vote in each state and the District of Columbia, and thus the
Apriori-based Prediction of the Multi Seat Elections - IEEE Xplore
than the poll model The improved poll model by delegating and weighting operations can predict election results of Hongkong Legislative Council more
[PDF] The machine learning in the prediction of elections
the algorithm with the better performance in data management Keywords: Automatic Learning, fuzzy logic, grouping, Weka, SALSA, LAMDA, state elections
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