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SAS Exam A00-240 Topic 9 Question 106 Discussion

Actual exam question for SAS's A00-240 exam
Question #: 106
Topic #: 9
[All A00-240 Questions]

Refer to the ROC curve:

As you move along the curve, what changes?

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Suggested Answer: C

by Kanisha at Jan 25, 2025, 05:01 PM

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Lilli
1 months ago
I'm going with D) The probability cutoff for scoring. Seems like the most straightforward explanation for how the ROC curve changes as you move along it.
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Elza
16 days ago
I see your point, but I still think D) The probability cutoff for scoring is the key factor in how the ROC curve changes.
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Chun
1 months ago
I think it's actually C) The proportion of events in the training data. That's what affects the shape of the ROC curve.
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Thomasena
1 months ago
I agree, D) The probability cutoff for scoring makes sense. It determines the trade-off between true positive rate and false positive rate.
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Bonita
2 months ago
Ha! The priors in the population? That's a good one. As if the ROC curve is going to be affected by the underlying population distribution. That's just silly.
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Cordie
4 days ago
User 3: The proportion of events in the training data is affected by the movement along the curve.
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Roxane
9 days ago
User 2: The true negative rate in the population also changes.
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Alva
1 months ago
User 1: The probability cutoff for scoring changes as you move along the curve.
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Ben
2 months ago
The true negative rate in the population is definitely not the right answer here. That's more about the base rate of the target variable, not the performance of the model.
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Brendan
13 days ago
C) The proportion of events in the training data
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Alysa
29 days ago
D) The probability cutoff for scoring
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Lettie
1 months ago
A) The priors in the population
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Elsa
1 months ago
D) The probability cutoff for scoring
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Denna
1 months ago
A) The priors in the population
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Hortencia
2 months ago
I'm not sure, but I think it might also be C) The proportion of events in the training data.
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Doug
2 months ago
I agree with Donte, as you move along the curve, the probability cutoff for scoring changes.
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Na
2 months ago
I think it's the proportion of events in the training data that changes as you move along the ROC curve. The more events you have, the better your model can discriminate between positive and negative cases.
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Donte
2 months ago
I think the answer is D) The probability cutoff for scoring.
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Youlanda
2 months ago
The ROC curve shows the trade-off between the true positive rate and the false positive rate, so as you move along the curve, the probability cutoff for scoring must be changing. I'm pretty sure that's the right answer.
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Hobert
2 months ago
Got it, thanks for clarifying!
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Gwenn
2 months ago
So, the answer is D) The probability cutoff for scoring.
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Cortney
2 months ago
Yes, that's correct. The ROC curve shows the trade-off between true positive rate and false positive rate.
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Maynard
2 months ago
I think the probability cutoff for scoring changes as you move along the ROC curve.
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