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SAS Exam A00-240 Topic 9 Question 96 Discussion

Actual exam question for SAS's A00-240 exam
Question #: 96
Topic #: 9
[All A00-240 Questions]

What is a benefit to performing data cleansing (imputation, transformations, etc.) on data after partitioning the data for honest assessment as opposed to performing the data cleansing prior to partitioning the data?

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Suggested Answer: D

by Donette at Sep 12, 2024, 03:18 PM

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Lilli
3 days ago
Performing data cleansing before partitioning? That's like trying to clean your house before you've actually moved in!
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Dolores
6 days ago
And it's worth the computational ease and time saved.
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Lorrine
7 days ago
Data cleansing is like spring cleaning for your dataset. Might as well do it after the partitioning, right? D is my pick.
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Talia
10 days ago
Yes, but it makes inference on the model possible.
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Nicholle
11 days ago
But doesn't it omit the training data from the benefits of cleansing?
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Dolores
16 days ago
I agree, it helps in determining the effectiveness of the cleansing method.
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Talia
23 days ago
I think performing data cleansing after partitioning allows for honest assessment.
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Amie
27 days ago
Ooh, tricky one! I'm going with D. Gotta test those cleansing methods on the real deal, you know?
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Becky
10 days ago
D) It allows for the determination of the effectiveness of the cleansing method.
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Aliza
20 days ago
A) It makes inference on the model possible.
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Maxima
1 months ago
B seems tempting, but I think D is the right choice here. Knowing the effectiveness of the cleansing is crucial for a fair assessment.
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Viola
1 months ago
Option D makes the most sense to me. We want to see how the cleansing methods perform on the actual data, not just the pretreated version.
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Margot
7 days ago
D) It allows for the determination of the effectiveness of the cleansing method.
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Dorsey
8 days ago
A) It makes inference on the model possible.
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Leslee
10 days ago
D) It allows for the determination of the effectiveness of the cleansing method.
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Eun
18 days ago
A) It makes inference on the model possible.
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