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Forecasting Japanese elections: A nonlinear machine-learning approach
arXiv:2606.07572v1 Announce Type: new Abstract: Despite Japan being one of the world's largest advanced democracies, the development of election forecasting models for its national elections remains limited. This study introduces nonlinear machine-learning forecasting models, based on decision tree and ensemble learning methods, for predicting the outcomes of Japanese lower-house elections.
Forecasting Japanese elections: A nonlinear machine-learning approach
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