Question: 4. Suppose we have used a decision tree algorithm to build a classifi- cation tree model for detection of Fault-Prone (FP) and Not Fault-

4. Suppose we have used a decision tree algorithm to build a classifi- cation tree model for detection of Fault-Prone (FP) and Not Fault- Prone (NFP) program modules or objects. We have encoded FP=0 and NFP=1. Also, assume that we are interested in a particular leaf node (NODE t) in the tree model with mean value of 0.20. We would like to classify an object from the test data set which falls in this leaf node (NODE t). Predict this object as FP or NFP for the following cases. (a) (or c) = 0.30 (b) (or c) = 2.5 Show all your work!
Step by Step Solution
There are 3 Steps involved in it
In a classification tree model the decision to classi... View full answer
Get step-by-step solutions from verified subject matter experts
Document Format (2 attachments)
663d5462159ce_967949.pdf
180 KBs PDF File
663d5462159ce_967949.docx
120 KBs Word File
