Based on the feedback you received in Milestone Two, revise your decision model and evaluate it.
Evaluation in this case could mean a few different things. If you are performing a bottom-up style recursive partitioning analysis, 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? You should 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 additional details, please refer to the Milestone Three Guidelines and Rubric PDF document.