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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 …
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The enormous growth experienced by the credit industry has led researchers to develop sophisticated credit scoring models that help lenders decide whether to grant or reject credit to applicants. This paper proposes a credit scoring model based on boosted decision trees, a powerful learning...
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predictions when new observations arrive. The tree-based ensemble method "boosting" provides the highest benefit in forecast …
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predictability limit of the lvp states at Vienna Airport. The forecasts are computed with boosting trees, which consist of an … ensemble of decision trees grown iteratively on residuals of previous trees. The model predictors are observations at Vienna … Airport and output of a high resolution and an ensemble numerical weather prediction (NWP) model. Observations have highest …
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