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README.md
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@@ -69,4 +69,8 @@ This credit risk assessment tool was developed using a weighted metric approach
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- 30% weight on KS Statistic (measures separation between good and bad loans)
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- 20% weight on ROC AUC (overall discriminative ability)
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This approach is particularly well-suited for credit risk assessment where the cost of approving a bad loan is higher than the cost of rejecting a good one.
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- 30% weight on KS Statistic (measures separation between good and bad loans)
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- 20% weight on ROC AUC (overall discriminative ability)
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This approach is particularly well-suited for credit risk assessment where the cost of approving a bad loan is higher than the cost of rejecting a good one.
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<p align="center">
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<img src="credit_risk.png" alt="Credit Risk App Thumbnail" width="100%">
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</p>
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