Construct a model to predict customer churn using binary classification trees (C&R Tree) and evaluate the performance of the constructed model on the holdout sample provided (use metrics related to confusion matrix).

This is a case study related to TESCO and all the necessary data and files are uploded.
1. this assignment is about 3000 words
2. assignment should be provided in three different files (Excel and IBM SPSS Modeler and report with sub- topics in ms-word).
3. it has 2 tasks : Analysis task ( Excel and IBM SPSS Modeler ) and report ( MS-word).
4. You can read the assignment instructions for further clarification.
5. There should be no plagiarism ( less than 10%)
6. Kindly provide the high quality assignment before the deadline.Note: u have to submit in 3 files ( spss, excel and word docs files)
Analysis Tasks

2- Evaluate the performance of the constructed model against the RFM method (use lift charti.
e. concentration to make the comparison).

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