Reference no: EM132291244
Discuss the data refinement/modification process followed and the results.
Refine/Modify the dataset.
a. Which variables have the highest quality score? Which ones have the lowest quality score and why? Discuss how the quality of the dataset could be improved.
Provide some useful and insightful hierarchies and filters. Summarize and discuss Utilize the available grouping, filtering and hierarchical functionalities to refine the data. Summarize the approach you took and the outcome. What suggestions or insights are gained?I've already created 3 data groups already; Relationship Group; Weapon Group; U.S. Region
Predictive Model Decision Tree
Discuss the decision tree predictive models developed and the results. Include any insights gained from drilling down on the model. How do the rules from the decision tree help with the decision?
Develop at least two decision tree predictive models:
a) Develop at least two different decision tree prediction models. Be sure to specify what variable is being predicted and which variables are to be used to predict the outcomes. Try to derive a more accurate model, or a model that is equally accurate but simpler (i.e., has fewer variables). Discuss your findings. Discuss the results and which model would be preferable. Which variables are the strongest predictors? What is the single best predictor variable? What combination of variables seems to give the best answer? Why?
Discuss how the use of "rules" would be useful in your organization. How would you implement the use of a rule-based approach?