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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?

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Suggested Answer: C

by Sabrina at Sep 19, 2024, 07:28 AM

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Delsie
3 months 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
3 months 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
3 months 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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Ivette
2 months ago
I think option B is the way to go. Applying the imputed values directly to the validation data seems like the simplest solution.
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Goldie
2 months ago
I see your point, but I still think option D is the most appropriate. Using both datasets for imputations will give us a more accurate model evaluation.
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Jovita
3 months 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
3 months 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
3 months 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
3 months ago
D) The imputed values must be recalculated using both the training and the validation data.
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Whitney
3 months ago
A) The imputed values are irrelevant to the validation data, and are not used.
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Argelia
3 months ago
C) The imputed values must be recalculated using the validation data.
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Rebbecca
3 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
2 months ago
C) The imputed values must be recalculated using the validation data.
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Marti
2 months ago
B) The imputed values must be applied directly to the validation data without recalculation.
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Aleta
2 months ago
A) The imputed values are irrelevant to the validation data, and are not used.
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Tish
4 months ago
I believe the imputed values are irrelevant to the validation data, and should not be used.
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Yuriko
4 months ago
I agree with Cecil. It's important to ensure consistency between the training and validation data.
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Cecil
4 months ago
I think the imputed values should be recalculated using the validation data.
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