voting ensemble method with a decision tree (DT) with experimental data on US restaurant between 1980 and 2017. According to … the voting ensemble of business failure prediction. Three models, including an entire period (EP) model, an economic … prediction models. And second, by using an ensemble model with a DT, it has improved both the interpretability of the results and …

technologies. We integrate patent big data for technological integration and use text mining, boosting, and ensemble for integrated … technologies and analyze the integrated patent data using regression trees, random forest, extreme gradient boosting, and ensemble …

performance in its simulation of this MCV event. Finally, an ensemble of 20 forecasts using mesoscale model MM5 with horizontal … examination of the ensemble spread as well as the correlations between different forecast variables among ensemble members. It is … shown that after MCV development, the ensemble mean performs poorly while individual ensemble members with good forecasts of …