Question: cow Partition the data into training, validation, and test sets. . Experiment with various classication methods and propose a nal model for identifying customers who

 cow Partition the data into training, validation, and test sets. .
Experiment with various classication methods and propose a nal model for identifying

cow Partition the data into training, validation, and test sets. . Experiment with various classication methods and propose a nal model for identifying customers who will respond to the targeted marketing. Your report should include a chart of the Class 1 and Class 0 error rates for various values of the cutoff probability. Recommend a cutoff probability value. For the test set, what is the overall error rate at this value? What are the Class 1 and Class 0 error rates at this value? If GCC sends the targeted marketing to the model's top decile, what is the expected response rate? How does that compare to the average industry rate

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