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Comparison of the prediction effect between the Logistic Regressive model and SVM model

机译:Logistic回归模型和SVM模型的预测效果比较

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Financial crises forewarning has important practical significance both for the investors and for the lenders. This paper uses the financial forewarning models, including the Logistic Regressive model and SVM model, to verify the feasibility of the short-term forecast for the financial situation of enterprises. And the paper also gives comparisons between these two models. The results of the study suggest that these two models are both feasible, and the SVM model can achieve better forecasting effects than the Logistic Regressive model.
机译:预警金融危机对投资者和贷方都具有重要的现实意义。本文采用Logistic回归模型和SVM模型等财务预警模型,验证了企业财务状况短期预测的可行性。并且本文还对这两种模型进行了比较。研究结果表明,这两个模型都是可行的,并且与Logistic回归模型相比,SVM模型可以实现更好的预测效果。

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