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The experimental results demonstrate that number of non-specialists, using the performance of classification models or can result in more optimal efficiently and accurately.
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| Blockchain credit scoring | We can see that the challenge of credit distribution lies mainly in how to efficiently classify a smaller group of people with poor credit. Download PDF. Dumitrescu et al. A novel multi-stage hybrid model with enhanced multi-population niche genetic algorithm: An application in credit scoring. The primary reason for choosing fold is that a large number of experiments using different learning techniques with a large dataset have demonstrated that fold is an appropriate choice for obtaining the best error estimates while ensuring efficient training as well as not causing redundant time and space wastage Fushiki ; Wong and Yeh Feature selection is the method of selecting the most efficient features from the original features to reduce the dimensionality of the dataset, thus reducing the computational overhead and improving the classifcation performance. |
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