This project involves building a loan default risk prediction model based on credit data. By conducting comprehensive data analysis and modeling on multidimensional borrower characteristics—such as ...
Correspondence to Dr Alex Griffiths, London School of Economics and Political Science, Centre for Analysis of Risk and Regulation, London WC2A 2AE, UK; a.griffiths{at}lse.ac.uk Background The Care ...
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For this reason, this study proposes an explainable machine learning framework to assess sustainable supply chain performance. Methods: The framework applies dual-model architecture. Random Forest ...
A total of approximately 30,400 children were included in model 1 and 30,389 in Model 2 (see Table 1). After excluding cases with missing data (see Figure 2 for participant flow), the final analytic ...
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