Evaluation of SMEs’ Credit Decision Based on Support Vector Machine-Logistics Regression
نویسندگان
چکیده
This article uses support vector machines, logistics regression, and other methods for the comprehensive evaluation of credit decision-making small, medium, microenterprises comprehensively software programming such as MATLAB SPSS Modeler to solve problem. The results, risk index system, classification model, are obtained. Finally, this starts from decision provides theoretical practical suggestions banks control risks their own development.
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ژورنال
عنوان ژورنال: Journal of Mathematics
سال: 2021
ISSN: ['2314-4785', '2314-4629']
DOI: https://doi.org/10.1155/2021/5541436