Write a data mining application plan that can be implemented using Logistic Regression or Discriminan
Write a data mining application plan that can be implemented using Logistic Regression or Discriminant Analysis (Will Provide the Application). Clearly identify and define the categorical outcome variable (Y) and at least five predictors (X1,X2, X3, X4, X5) that can be used to classify records into different categories of the Y variable. Clarify how one could collect data about at least 100 customers on your proposed Y and X variables to implement your plan. What kind of businesses and business professionals could benefit from using your proposed application? What could be some of these potential benefits? In your plan, explain which of these techniques might be most appropriate and why. If it is impossible to tell which of these methods might be able to perform best without trying and evaluating each one of them, explain, using concepts from chapter 5, how you could evaluate and compare the performance of these different data mining methods. Your plan should be written using 500 to 750 words.