Hi, I am trying to model credit risk data using decision trees. Since the number of defaulters is less compared to non-defaulters (defaulters around 10%), we have the class imbalance problem. Consequently, the confusion matrix shows that the number of misclassified non-defaulters is large. Classifying a defaulter as non-defaulter is more expensive. How does one include this information (penalty matrix) into rpart function?
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