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DMetaSoul uses MetaSpore on AlphaIDE to quickly implement a loan default rate prediction model on an open-source dataset and build a scorecard based on this model. Based on the Demo system of this version, the methods of feature derivation, binning, and screening can be more delicate, which often determines the upper limit of the performance of the risk control system. Finally, give the address of the code base and the AlphaIDE trial link (AlphaIDE tutorial): Default rate forecast: https://github.com/meta-soul/MetaSpore/tree/main/demo/riskmodels/loan_default MetaSpore's one-stop machine learning development platform: https://github.com/meta-soul/MetaSpore AlphaIDE trial link: https://registry-alphaide.dmetasoul.com
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