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SAS Exam A00-240 Topic 2 Question 97 Discussion

Actual exam question for SAS's A00-240 exam
Question #: 97
Topic #: 2
[All A00-240 Questions]

While building a predictive model, median imputations are performed while preparing the training data.

How should the imputations be addressed in the validation data?

Show Suggested Answer Hide Answer
Suggested Answer: C

Contribute your Thoughts:

Delsie
22 days ago
Wait, so we're supposed to impute the imputations? Isn't that just double-imputing? I feel like we're going down a rabbit hole here...
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Madonna
23 days ago
I'm going with C. Recalculating the imputations using the validation data alone ensures we're not introducing any bias from the training set. Simple yet effective!
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Thurman
24 days ago
Option D makes the most sense to me. Using both the training and validation data for the imputations will give us a more robust and unbiased model evaluation.
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Jovita
12 days ago
I disagree, I believe option C is the best approach. The imputed values should be recalculated using the validation data.
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Rolande
16 days ago
I think option A is correct. The imputed values from the training data should not be used in the validation data.
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Winifred
28 days ago
Recalculating the imputations using the validation data sounds like the way to go. Consistency is key when evaluating the model's performance.
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Eva
16 days ago
D) The imputed values must be recalculated using both the training and the validation data.
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Whitney
17 days ago
A) The imputed values are irrelevant to the validation data, and are not used.
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Argelia
23 days ago
C) The imputed values must be recalculated using the validation data.
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Rebbecca
1 months ago
If the imputed values are irrelevant to the validation data, how do we ensure the model's performance is consistent across both datasets? Hmm, tough one.
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Rosalind
3 days ago
C) The imputed values must be recalculated using the validation data.
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Marti
5 days ago
B) The imputed values must be applied directly to the validation data without recalculation.
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Aleta
6 days ago
A) The imputed values are irrelevant to the validation data, and are not used.
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Tish
2 months ago
I believe the imputed values are irrelevant to the validation data, and should not be used.
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Yuriko
2 months ago
I agree with Cecil. It's important to ensure consistency between the training and validation data.
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Cecil
2 months ago
I think the imputed values should be recalculated using the validation data.
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