SAS Exam A00-240 Topic 1 Question 67 Discussion

Actual exam question for SAS's A00-240 exam

Question #: 67
Topic #: 1

[All A00-240 Questions]

When working with smaller data sets (N<200), which method is preferred to perform honest assessment?

ATraining: 40% Validation: 30% Testing: 30%

BK-fold cross validation

CCross validation using 4th quartile observations

DUse the AIC goodness of fit statistic

Show Suggested Answer

Suggested Answer: C

by Casie at Mar 24, 2023, 03:02 PM

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Gilberto

1 months ago

Option E) Throw darts at the wall and go with whatever sticks. Scientific method, am I right?

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Gregoria

17 days ago

B) K-fold cross validation

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Leanora

1 months ago

A) 40-30-30 split? That's just begging to overfit on the training set. I'd much rather go with the flexibility of K-fold.

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Edmond

9 days ago

A) Exactly, it helps prevent bias in the model evaluation process.

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Michal

13 days ago

B) It's important to avoid overfitting, so K-fold is the way to go.

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Jose

1 months ago

A) I agree, K-fold cross validation is definitely more reliable.

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Geoffrey

2 months ago

C) Cross validation using the 4th quartile? Sounds like a bit of a gimmick to me. I'll play it safe with B.

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Valda

11 days ago

Yeah, K-fold cross validation is a more reliable method for honest assessment.

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Olene

14 days ago

I think K-fold cross validation is the way to go for smaller data sets.

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Lindsey

23 days ago

I agree, using the 4th quartile seems risky. K-fold cross validation is a safer bet.

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Ma

2 months ago

D) AIC goodness of fit? Isn't that more for model selection than performance assessment? I'd stick with the tried and true K-fold approach.

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Patria

2 months ago

B) K-fold cross validation sounds like the way to go for smaller data sets. Keeps the validation honest without sacrificing too much of the training data.

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Moira

4 hours ago

I think it strikes a good balance between training and validation.

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Heidy

2 days ago

It helps in keeping the validation process honest.

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Niesha

12 days ago

I agree, K-fold cross validation is a good choice for smaller data sets.

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Curt

13 days ago

It's definitely a reliable method for honest assessment with smaller data sets.

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Fletcher

17 days ago

I've used it before and it worked well for me.

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Mohammad

1 months ago

It helps in keeping the validation honest while still utilizing the data efficiently.

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Sherron

2 months ago

I agree, K-fold cross validation is a good choice for smaller data sets.

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Latosha

2 months ago

I prefer using the AIC goodness of fit statistic. It provides a good measure of model performance.

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Georgiann

2 months ago

I agree with Kent. K-fold cross validation helps in getting a more accurate assessment.

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Kent

2 months ago

I think when working with smaller data sets, K-fold cross validation is preferred.

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