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?

Thanks and regards,
Dr S Muralidharan
Chief Scientist,
Tata Consultancy Services
17, Cathedral Road,
Chennai - 600 086,Tamil Nadu
India
Ph:- 91 44 66164513
Buzz:- 444 4513
Mailto: muralidharan.somasundaram@tcs.com
Website: http://www.tcs.com
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