Question: can someone help me this project please Question 1 ( 5 polnts). Below is the output of a decision tree constructed using SAS Enterprise Miner.
can someone help me this project please
Question 1 ( 5 polnts). Below is the output of a decision tree constructed using SAS Enterprise Miner. Vatiable Inportance Tree Leat Report Data Role-VALIDATE Target Varieble=target_churn Target tebel-Churn 1 or 0 1) What are the two feast important input variables in the decision tree? Why? (2 point) 2) Assume you like to apply this decision tree model to a sample of 10,000 customers to effectively target the customers who are more likely to purchase your products. If your budget allows you to mail promotion only to 2,500 customers and you use the decision tree results to select your customers who are more likety to purchase, how many more customers will likely purchase your products in comparison to mailing promotion to randomily selected customers without using the decision tree model ( 3 points)? Question #22 (8 points): Download the following three data files, and create a new dataset named "CuENT_occx" where oocx Is your last name. In the Query Builder, when joining tables, make sure that the client.sas7bdat table is the central table to which other data files are joined. Client.sas7bdat client_ins_opendt.xisx credit_bureau. xsx Columns in the final data set should be as follows in the same sequence (field names are in caps, the short descriptions are in parantheses) (2 points): CLIENT_ID (Client ID) FST_NM (Client First name) BIRTH_DT (Client birth date) INS_ACT_OPEN_DT (Insurance account open date) FST_TL_YR (Year of first term loan) ZIP_- (5 digit zipcode) AGE_FST_TL (to be computed as specified below) The final dato should sotisfy the following conditions ( 3 pointa): 1. The first name should exclude MARY, TERRY, and CUFTON. 2. The client birth year should be on or after 1960 . 3. The insurance account open date should be after 3111 July 2001. Provide the following screenshots in the Word document (2 points). 1. The final process flow 2. The query builder window showing the list of fields 3. The query bulider window showing the list of filters 4. The final output dataset after you run the query builder successfully (Showing the last paze of data records) Instructions for submitting your work After completing your work, save the SAS Enterprise Guide project as Project_woox (where xoocx is your last name). Close the project, and close SAS Enterprise Guide application. Zip the following items into one zip file and uplosd it online through the link: a. Word document (including the answers to Question I as well) b. Project file c. All data files, including the output table. Question 1 ( 5 polnts). Below is the output of a decision tree constructed using SAS Enterprise Miner. Vatiable Inportance Tree Leat Report Data Role-VALIDATE Target Varieble=target_churn Target tebel-Churn 1 or 0 1) What are the two feast important input variables in the decision tree? Why? (2 point) 2) Assume you like to apply this decision tree model to a sample of 10,000 customers to effectively target the customers who are more likely to purchase your products. If your budget allows you to mail promotion only to 2,500 customers and you use the decision tree results to select your customers who are more likety to purchase, how many more customers will likely purchase your products in comparison to mailing promotion to randomily selected customers without using the decision tree model ( 3 points)? Question #22 (8 points): Download the following three data files, and create a new dataset named "CuENT_occx" where oocx Is your last name. In the Query Builder, when joining tables, make sure that the client.sas7bdat table is the central table to which other data files are joined. Client.sas7bdat client_ins_opendt.xisx credit_bureau. xsx Columns in the final data set should be as follows in the same sequence (field names are in caps, the short descriptions are in parantheses) (2 points): CLIENT_ID (Client ID) FST_NM (Client First name) BIRTH_DT (Client birth date) INS_ACT_OPEN_DT (Insurance account open date) FST_TL_YR (Year of first term loan) ZIP_- (5 digit zipcode) AGE_FST_TL (to be computed as specified below) The final dato should sotisfy the following conditions ( 3 pointa): 1. The first name should exclude MARY, TERRY, and CUFTON. 2. The client birth year should be on or after 1960 . 3. The insurance account open date should be after 3111 July 2001. Provide the following screenshots in the Word document (2 points). 1. The final process flow 2. The query builder window showing the list of fields 3. The query bulider window showing the list of filters 4. The final output dataset after you run the query builder successfully (Showing the last paze of data records) Instructions for submitting your work After completing your work, save the SAS Enterprise Guide project as Project_woox (where xoocx is your last name). Close the project, and close SAS Enterprise Guide application. Zip the following items into one zip file and uplosd it online through the link: a. Word document (including the answers to Question I as well) b. Project file c. All data files, including the output table



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