For this exercise, you will replicate (on a smaller scale) the box-office prediction modeling explained in Application Case 4.6. Download the training data set from Online File W4.2, MovieTrain.xlsx,...

For this exercise, you will replicate (on a smaller scale) the box-office prediction modeling explained in Application Case 4.6. Download the training data set from Online File W4.2, MovieTrain.xlsx, which is in Microsoft Excel format. Use the data description given in Application Case 4.6 to understand the domain and the problem you are trying to solve. Pick and choose your independent variables. Develop at least three classification models (e.g., decision tree, logistic regression, neural networks). Compare the accuracy results using 10-fold crossvalidation and percentage split techniques, use confusion matrices, and comment on the outcome. Test the models you have developed on the test set (see Online File W4.3, MovieTest.xlsx). Analyze the results with different models, and come up with the best classification model, supporting it with your results.