In reference to the attached case study:
Describe further analysis that might be useful and/or business actions that
might be taken based on the decision tree results.
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Describe further analysis that might be useful and/or business actions that might be taken based on the decision tree results.
Decision trees analysis is a very powerful and popular tool for classification and prediction. In the warranty problem, if we can correctly predict which type of customers are highly satisfied and which type are not highly satisfied with the services provided by the firm, the firm can formulate suitable policies for the two groups so that the satisfied group is retained as satisfied and the not satisfied group is provided with additional warranty features to make them more satisfied (even if that is at additional charge or so).
With the help of decision tree analysis in the given warranty problem we are able to classify the highly satisfied and not highly satisfied groups on the basis of their age, duration of service, whether the repair is minor or not and gender. The decision tree generated the rules, which classify the customers into groups based on the set easy to understand rules. There is no need to perform any computations for the ...
Here is just a sample of what you will find in the solution:
"The regression tree analysis will help to understand the behavior of the customers in a much better way as compared to the simple decision tree analysis. Linear regression is a..."
Based on the information provide a well-supported recommendation for further action?
The 36 page summary, gives a great overview to data mining, and should lead to recommendation for next steps.View Full Posting Details