Which algorithm is typically used for credit scoring in the finance industry?
- Decision Trees
- K-Means Clustering
- Naive Bayes
- Support Vector Machines
Decision Trees are commonly used in credit scoring as they provide a clear and interpretable way to assess an individual's creditworthiness. They can evaluate different factors and make decisions based on a series of questions, making them suitable for this application.
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