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Decision tree based model of business failure prediction for Polish companies

机译：基于决策树的波兰公司业务失效预测模型

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Marek Durica; Jaroslav Frnda; Lucia Svabova;
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年度 2019
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1. A gradient-boosting decision-tree approach for firm failure prediction: an empirical model evaluation of Chinese listed companies [J] . Liu Jiaming, Wu Chong The Journal of Risk Model Validation . 2017,第2期

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2. Majority voting ensemble with a decision trees for business failure prediction during economic downturns [J] . Soo Young Kim, Arun Upneja Journal of Innovation & Knowledge . 2021,第2期

机译：大多数投票与经济衰退期间的企业失败预测决策树
3. Business failure prediction using decision trees [J] . Gepp A., Kumar K., Bhattacharya S. Journal of Forecasting . 2010,第6期

机译：使用决策树预测业务失败
4. Efficiency of Gradient Boosting Decision Trees Technique in Polish Companies'Bankruptcy Prediction [C] . Joanna Wyrobek, Krzysztof Kluza International Conference on Information Systems Architecture and Technology . 2019

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5. Response of farmers' decisions and stream water quality to price incentives for nitrogen reduction, carbon abatement, and miscanthus cultivation: Predictions based on agent-based modeling coupled with water quality modeling [D] . Ng, Tze Ling. 2010

机译：农民的决策和溪流水质对降低氮，碳减排和黑果种植的价格激励措施的响应：基于代理模型与水质模型的预测
6. Prediction of slope failure in open-pit mines using a novel hybrid artificial intelligence model based on decision tree and evolution algorithm [O] . Xuan-Nam Bui, Hoang Nguyen, Yosoon Choi, -1

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7. Business failure prediction using decision trees [O] . Gepp Adrian, Kumar Kuldeep, Bhattacharya Sukanto 2009

机译：使用决策树进行业务失败预测

Decision tree based model of business failure prediction for Polish companies

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