Submit a report detailing your proposed data analytic model algorithm for use in your project. The report will include an evaluation of the model result accuracy, including model parameter changes and...

Submit a report detailing your proposed data analytic model algorithm for use in your project. The report will include an evaluation of the model result accuracy, including model parameter changes and identification of recommended parameter values. Additionally, the report should include an analysis of the model results for any organizational impact. Specifically, the following critical elements must be addressed: A. Initial Execution: Run/train the model with the given initial parameters on the test data set, and explain your process and results. (Note: You should include your results in your report, formatted in the manner most appropriate for clarity.) B. Initial Evaluation: Evaluate these initial conditions compared to the validation data set from the scenario and your expectations of the results. How do your results meet up with the validation data set? C. Parameter Changes: Change parameters to investigate the effects to the model accuracy. How did changing the parameters impact your results? Are there trends or patterns that you notice? D. Parameter Confirmation: Identify the parameters you feel are best for this model and data set and explain what led you to this conclusion. Be sure to explain your reasons clearly, calling on specific examples to assist your explanation. E. Organizational Impact: Given your parameter selection and model execution, what are the impacts on the organizational task or problem at hand? Guidelines for Submission: Your paper must be submitted as a one- to two-page document (in addition to the cover page and references) with double spacing, 12-point Times New Roman font, one-inch margins, and at least one source, which must be cited in APA format.