In this milestone, you will perform an evaluation of your decision model and revise your decision model as needed. Evaluation examples are if you are performing a bottom-up style recursive partitioning analysis, and you should report on the error rate and variable selection. You might also consider alternative
variable categorizations to improve your model. If you are performing a top-down decision tree modeling exercise, what are the threshold values that cause the tree to flip? Perform sensitivity analysis on the critical variables in your tree and report what those sensitivity analyses are telling you. For either style
of modeling, what makes your tree stronger? What breaks the model? For more information on completing this milestone, please refer to the Final Project
Notes in the Assignment Guidelines and Rubrics folder.
Specifically, the following critical elements must be addressed in your final submission:
Include the structure of your revised decision tree, with a clear description.
Evaluate the results of your revised model, including analysis that is specific to your revised model. In your evaluation, reflect on the appropriateness and adjustments of the revised model, as well as the accuracy of the results you obtained.
Suitable diagnostics should be incorporated into the model.
Guidelines for Submission: This milestone should be 2 to 3 double-spaced pages of text, with tree model images and any other supporting material appended.
Review your work to ensure that there are no major errors in writing mechanics. If you have citations, include the sources at the end and cite them APA format.
