A bank needs to classify their loan applications to one of the three risk classes, class...

Transcribed Image Text:

A bank needs to classify their loan applications to one of the three risk classes, class A, class B or class C. The bank considers four attributes for their classification. The following table gives past loan application classification decisions. (i) (ii) Owns Risk Home? Married? Gender Employed Class Yes Yes Male Yes B No No Female Yes -A Yes Yes Female Yes -€ Yes No Male No B No Yes Female Yes € No No Female Yes A No No Male No B Yes No Female Yes A No Yes Female Yes € Yes Yes Female Yes € Derive decision tree for classification of above loan applications using ID3 algorithm. If a new application with the attribute values, Owns home = Yes, Married = Yes, Gender = Female and Employed = Yes, has been received, How would the bank classify the application into one of the three risk classes? A bank needs to classify their loan applications to one of the three risk classes, class A, class B or class C. The bank considers four attributes for their classification. The following table gives past loan application classification decisions. (i) (ii) Owns Risk Home? Married? Gender Employed Class Yes Yes Male Yes B No No Female Yes -A Yes Yes Female Yes -€ Yes No Male No B No Yes Female Yes € No No Female Yes A No No Male No B Yes No Female Yes A No Yes Female Yes € Yes Yes Female Yes € Derive decision tree for classification of above loan applications using ID3 algorithm. If a new application with the attribute values, Owns home = Yes, Married = Yes, Gender = Female and Employed = Yes, has been received, How would the bank classify the application into one of the three risk classes?

Answer rating: 100% (QA)

Here is the constructed decision tree for the loan application dataset using the ID3 algorithm 1 Root Node Gender If Gender Male classify as Risk Clas... View the full answer