Cause Affinity" is a score (in percentages, 0 to 100) for each user that indicates how much they relate (higher is better) to the fundraising's cause. Assume it is estimated by our platform.

"Past Donations"is a binary variable that indicates whether the user has made past donations in the last 3 months.

"Estimated Wealth" is the user's estimated financial wealth; values are Low, Medium, and High.

Use the above to answer the next 6 questions.

Question 37(1 point)

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What is thePrecisionof this classifier for predicting users making "Large" donations?

Question 37 options:

a)

20/260

b)

204/260

c)

20/30

d)

20/25

e)

25/260

f)

30/260

Question 38(1 point)

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What is theRecall(or Sensitivity) of this classifier for predicting users who make "Small" donations?

Question 38 options:

a)

85/260

b)

120/260

c)

105/260

d)

85/105

e)

85/120

Question 39(1 point)

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What is the overall Accuracy of this Classifier?

Question 39 options:

a)

120/260

b)

204/260

c)

30/260

d)

56/260

e)

110/260

Question 40(1 point)

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Based on this decision tree, which users are most likely to makeLargedonations?

Question 40 options:

a)

Users estimated to have a High financial wealth who have made past donations with an affinity score above 80%

b)

Users estimated to have a high financial wealth who not made past donations and are at least 40 years old

c)

Users estimated to have a Medium financial wealth who have made past donations with an affinity score above 80%

d)

None of these groups

Question 41(1 point)

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Is it likely to receive donations from users with a Low estimated wealth?

If so, which users should we consider?

Question 41 options:

a)

Yes, those who are at least 35 years old

b)

No

c)

Yes, those who are younger than 35 and have a affinity score below 80%

d)

Yes, those who are younger than 35 and have a affinity score above 80%

Question 42(1 point)

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This classifier is better at correctly predicting users who make ______ donations.

Question 42 options:

a)

No (None)

b)

Small

c)

it is equally Precise at predicting all three outcomes

d)

Large