due tomorrow 11 pm

DAT 520 Milestone Three Guidelines and Rubric 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? You should perform sensitivi ty analysis on the critical variables in your tree and report what those sensitivity analyses are telling you. For either sty le of modeling, what makes your tree stronger? What breaks the model? For more information on completing this milestone, please ref er 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.

Critical Elements Proficient (100%) Needs Improvement (70%) Not Evident (0%) Value

Structure Deci s i on tree and des cri ption are cl early s tructured

Deci s i on tree and des cri ption are s omewhat cl early s tructured

Deci s i on tree and des cri pti on are not adequatel y s tructured

30

Evaluation of Results Eval uati on cons i ders reas onablenes s ,

accuracy, mi s s ing/extraneous el ements , and error i n the model

Eval uati on does not ful l y cons i der

reas onabl enes s , accuracy, mi s s i ng/extraneous el ements , and error i n the model

Eval uati on does not cons i der

reas onabl enes s , accuracy, mi s s i ng/extraneous el ements , and error i n the model

30

Model Diagnostics Model i ncl udes cl ear us e of di agnos ti cs Model bui l ds i n parti al us e of di agnos ti cs

Model does not i ncl ude di agnos ti cs 30

Articulation of

Response

Submi s s i on has no major errors rel ated

to grammar, s pel l i ng, s yntax, or organi zati on

Submi s s i on has major errors rel ated to

grammar, s pel l i ng, s yntax, or organi zati on that negati vel y i mpact readabi l ity and arti culation of mai n i deas

Submi s s i on has criti cal errors rel ated to

grammar, s pel l i ng, s yntax, or organi zati on that prevent unders tandi ng of i deas

10

Earned Total 100%