Churn Calls Visits Churn Calls Visits Yes 39 0 No 67 1 Yes 95 0 No 60 2 Yes 24 2 No 69 1 Yes 86 1 No 12 2 Yes 40 2 No 7 2 Yes 25 0 No 75 0 Yes 40 0 No 40 0 Yes 40 2 No 12 0 Yes 93 1 No 12 2 Yes 96 1 No 40 0 Yes 96 0 No 7 2 Yes 73 2 No A marketing manager wants to predict customers with risk of churning based on the number of calls the customer makes to the company call center and the number of visits the customer makes to the local service center. Data from a random sample of 30 customers are given in the data table. A classification tree model was developed to predict churning using all the data as a training sample. What conclusions can you reach? Based on the first split, what conclusions can be drawn about when customer churn is more likely? Select the correct choice below and fill in any answer boxes within your choice. A. When the number of visits was greater than or equal? B. When the number of visits was less than ? C. When the number of calls was less than? D. When the number of calls was greater than or equal to ?
Churn Calls Visits Churn Calls Visits Yes 39 0 No 67 1 Yes 95 0 No 60 2 Yes 24 2 No 69 1 Yes 86 1 No 12 2 Yes 40 2 No 7 2 Yes 25 0 No 75 0 Yes 40 0 No 40 0 Yes 40 2 No 12 0 Yes 93 1 No 12 2 Yes 96 1 No 40 0 Yes 96 0 No 7 2 Yes 73 2 No A marketing manager wants to predict customers with risk of churning based on the number of calls the customer makes to the company call center and the number of visits the customer makes to the local service center. Data from a random sample of 30 customers are given in the data table. A classification tree model was developed to predict churning using all the data as a training sample. What conclusions can you reach? Based on the first split, what conclusions can be drawn about when customer churn is more likely? Select the correct choice below and fill in any answer boxes within your choice. A. When the number of visits was greater than or equal? B. When the number of visits was less than ? C. When the number of calls was less than? D. When the number of calls was greater than or equal to ?
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
100%
Churn
|
Calls
|
Visits
|
|
Churn
|
Calls
|
Visits
|
---|---|---|---|---|---|---|
Yes
|
39
|
0
|
|
No
|
67
|
1
|
Yes
|
95
|
0
|
|
No
|
60
|
2
|
Yes
|
24
|
2
|
|
No
|
69
|
1
|
Yes
|
86
|
1
|
|
No
|
12
|
2
|
Yes
|
40
|
2
|
|
No
|
7
|
2
|
Yes
|
25
|
0
|
|
No
|
75
|
0
|
Yes
|
40
|
0
|
|
No
|
40
|
0
|
Yes
|
40
|
2
|
|
No
|
12
|
0
|
Yes
|
93
|
1
|
|
No
|
12
|
2
|
Yes
|
96
|
1
|
|
No
|
40
|
0
|
Yes
|
96
|
0
|
|
No
|
7
|
2
|
Yes
|
73
|
2
|
|
No
|
|
A marketing manager wants to predict customers with risk of churning based on the number of calls the customer makes to the company call center and the number of visits the customer makes to the local service center. Data from a random sample of 30 customers are given in the data table. A classification tree model was developed to predict churning using all the data as a training sample. What conclusions can you reach?
Based on the first split, what conclusions can be drawn about when customer churn is more likely?
Select the correct choice below and fill in any answer boxes within your choice.
When the number of visits was greater than or equal?
When the number of visits was less than ?
When the number of calls was less than?
When the number of calls was greater than or equal to ?
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