Data mining assignment
Budget: $10 – $30 USD
For this HW, you will replicate (on a smaller scale) the box-office prediction modeling explained in Application Case 4.6. Use the training data set from File W4.2_MovieTrain.xlsx, which is in Microsoft Excel format. Use the data description given in Application Case 4.6, pick and choose your independent variables from the different data items. Develop a decision tree classification model for this problem.
Test the model you have created on the test set from File W4.3_MovieTest.xlsx.
You may use any of the freely available data mining tools mentioned in the textbook to solve this HW, or, create your own algorithm using your favorite scripting/programming tools.
Deliverables:
Compare the accuracy results using 10-fold cross-validation and percentage split techniques, use confusion matrices, and comment on the outcome.
Make sure you explain the process you chose to solve this problem (including the name of the used software, or, scripting/programming language (include your code in this case)), and discuss how successful you think the applied solution has been.
Test the model you have created on the test set from File W4.3_MovieTest.xlsx.
You may use any of the freely available data mining tools mentioned in the textbook to solve this HW, or, create your own algorithm using your favorite scripting/programming tools.
Deliverables:
Compare the accuracy results using 10-fold cross-validation and percentage split techniques, use confusion matrices, and comment on the outcome.
Make sure you explain the process you chose to solve this problem (including the name of the used software, or, scripting/programming language (include your code in this case)), and discuss how successful you think the applied solution has been.