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SAS A00-240 Exam - Topic 4 Question 20 Discussion

Which statistic, calculated from a validation sample, can help decide which model to use for prediction of a binary target variable?
D) Average Squared Error
A) Adjusted R Square
B) Mallow's Cp
C) Chi Square

SAS A00-240 Exam - Topic 4 Question 20 Discussion

Actual exam question for SAS's A00-240 exam
Question #: 20
Topic #: 4
[All A00-240 Questions]

Which statistic, calculated from a validation sample, can help decide which model to use for prediction of a binary target variable?

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Suggested Answer: D

by Franklyn at May 05, 2022, 06:45 AM

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Lorenza
10 months ago
Mallow's Cp is the go-to for this kind of problem!
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Cecil
10 months ago
Average Squared Error is useful, but not the best for binary outcomes.
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Jestine
11 months ago
Wait, can Chi Square really help with model selection? Sounds off.
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Margot
11 months ago
Definitely not Adjusted R Square for binary targets!
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Talia
11 months ago
I think Mallow's Cp is the right choice for model selection.
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Cammy
11 months ago
Average Squared Error sounds familiar, but I thought it was more for continuous variables. This is tricky!
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Jaime
11 months ago
Adjusted R Square seems more suited for regression models, but I can't recall if it applies to binary outcomes.
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Marge
11 months ago
I remember practicing with Chi Square tests for categorical data, so that might be relevant here.
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Lou
11 months ago
I think we discussed Mallow's Cp in class, but I'm not entirely sure how it applies to binary targets.
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Jose
11 months ago
Wait, what's a 2U rack server? I'm not too familiar with server hardware specifications. I'll need to do a quick search to understand the difference between 1U, 2U, and other rack sizes.
upvoted 0 times
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Walker
11 months ago
I wonder if lower insurance premiums really apply in every case? That part feels a bit uncertain to me, but I can see the others being valid.
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Tanesha
12 months ago
I'm a bit confused by the options. $update and $modify don't sound familiar to me as MongoDB operators. I'll have to double-check my notes to be sure.
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