Create a Decision Tree. You are required to predict the BikeBuyer quotient using any input which...

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Create a Decision Tree. You are required to predict the BikeBuyer quotient using any input which has a Score of at least 0.025. Ensure the Content Type is aligned with what Visual Studio recommends. Using 30% data for testing and Allowing Drill Through, create a Decision Tree. Compare it with the Clustering Model. Paste a Screenshot of the Mining Models' tab - The Marketing Manager wants to run a campaign in a town of 75,000 people. Irrespective of how big the campaign is, his fixed costs are $10,000. He has been given the target of earning $20 per individual. This manager has no clue about which mining model to choose. What is the maximum individual cost can he bear spending, to remain profitable irrespective of the model that he chooses. Bear both the models in mind at the same time. Paste a screenshot of the Mining legend and the Profit Chart settings- Compare the clusters that have the strongest link, using 3 attributes. a. Paste a screenshots of how you determined who these 2 clusters are. b. Paste a screenshot of the screen you are using to compare the 2 clusters using 3 inputs. c. Explain the comparison in your own words. Use percentages. - Using Mining Model Prediction, find out the likelihood of someone buying a bike (Hint: Use the Predict Function to Predict Probability), using the Decision Tree and the ProspectiveBuyer Table. Include the following attributes a. Prospective Buyer Key b. First Name c. Last Name d. Email Address e. House Owner Flag f. StateProvinceCode g. City h. Occupation i. Yearly Income j. Number of Cars Owned Create a Decision Tree. You are required to predict the BikeBuyer quotient using any input which has a Score of at least 0.025. Ensure the Content Type is aligned with what Visual Studio recommends. Using 30% data for testing and Allowing Drill Through, create a Decision Tree. Compare it with the Clustering Model. Paste a Screenshot of the Mining Models' tab - The Marketing Manager wants to run a campaign in a town of 75,000 people. Irrespective of how big the campaign is, his fixed costs are $10,000. He has been given the target of earning $20 per individual. This manager has no clue about which mining model to choose. What is the maximum individual cost can he bear spending, to remain profitable irrespective of the model that he chooses. Bear both the models in mind at the same time. Paste a screenshot of the Mining legend and the Profit Chart settings- Compare the clusters that have the strongest link, using 3 attributes. a. Paste a screenshots of how you determined who these 2 clusters are. b. Paste a screenshot of the screen you are using to compare the 2 clusters using 3 inputs. c. Explain the comparison in your own words. Use percentages. - Using Mining Model Prediction, find out the likelihood of someone buying a bike (Hint: Use the Predict Function to Predict Probability), using the Decision Tree and the ProspectiveBuyer Table. Include the following attributes a. Prospective Buyer Key b. First Name c. Last Name d. Email Address e. House Owner Flag f. StateProvinceCode g. City h. Occupation i. Yearly Income j. Number of Cars Owned

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Task 1 Decision Tree Data Preparation Load your dataset ensuring it contains attributes like Score B... View the full answer