this question is on modeling

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Question 1 and question 2 need to be answered in around 200-300 words and one citation.

QUESTION 1- Under what circumstances would your analytics model be unable to be validated?

QUESTION 2- How would you refine your model if the validation process turned up unexpected results?


This question needs to be done through SPSS.. specifically through CHAID… Three decision trees need to be produced from 3 different Excel sheets… labeled BurndataMis690Capstone.xlsx, CleanBurnDataOver5.xlsx, CleanBurnDataUnder5.xlsx.

Week 1 MIS-690-BusinessProblemStatement-Team Fire was our first project referred to in the Main Question, part question 2.

Week 2 Analytics focus area-

week 3 -topic 3_Data needs identification and Data Acquisition

The data needs to be partitioned into 70% training, 20% test, 10% validation.

You will need to build a model that will solve the problem that you have identified. Use one or more of the following software applications: IBM SPSS Modeler, SPSS Statistics, Excel, Tableau, or R.

Write a 500-750 word paper describing your model. It will include the following:

  1. What models did you build?
  2. Why did you choose this model(s)? Be sure that this model specifically ties back to the business problem you created for the Topic 1 assignment.
  3. What variables did you include or leave out and why?
  4. Provide specific screenshots from the modeling software in your paper.

Provide the raw software files that you used for this assignment (IBM SPSS Modeler, SPSS Statistics, Excel, Tableau, or R). If R was used, provide a *.txt file of all the commands used.

Prepare this assignment according to the guidelines found in the APA Style Guide, located in the Student Success Center. An abstract is not required.

This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.

You are required to submit this assignment to LopesWrite. Please refer to the directions in the Student Success Center.

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