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SAS A00-240 Exam - 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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Micah
3 months ago
I thought it was more about the priors in the population, though.
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In
3 months ago
Definitely the cutoff, that's how ROC curves work!
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Tricia
4 months ago
Wait, are you sure it's not about the true negative rate?
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Evan
4 months ago
Totally agree, it's all about adjusting the threshold!
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Dottie
4 months ago
The probability cutoff changes as you move along the ROC curve.
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Sommer
4 months ago
I thought the priors in the population were important, but I don't think they change as you move along the curve.
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Truman
4 months ago
This question feels familiar; I practiced one where we discussed how the cutoff impacts sensitivity and specificity.
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Margo
5 months ago
I remember something about how the true negative rate changes, but I can't recall if that's the main focus of the ROC curve.
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Ceola
5 months ago
I think as you move along the ROC curve, it might be related to the probability cutoff for scoring, but I'm not entirely sure.
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Jessenia
5 months ago
I'm pretty confident on this one. As we move along the ROC curve, the probability cutoff for scoring is what changes. The other options don't seem to match what the curve represents.
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Kristal
5 months ago
I've got a strategy for this. I'll think about how the different performance metrics like true positive rate and false positive rate are related to the ROC curve, and that should help me figure out which option is correct.
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Mohammad
5 months ago
Wait, I'm not sure. Is it the true negative rate that changes as we move along the curve? Or is it the priors in the population? I'm a bit confused.
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Sherill
5 months ago
Okay, I think I've got this. As we move along the ROC curve, the probability cutoff for scoring changes, right? That's what the question is asking about.
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Aaron
5 months ago
Hmm, this looks like a tricky one. I'll need to think carefully about how the ROC curve changes as we move along it.
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Lilli
10 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
9 months 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
10 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
10 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
10 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
9 months 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 months ago
User 2: The true negative rate in the population also changes.
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Alva
10 months ago
User 1: The probability cutoff for scoring changes as you move along the curve.
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Ben
11 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
9 months ago
C) The proportion of events in the training data
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Alysa
9 months ago
D) The probability cutoff for scoring
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Lettie
10 months ago
A) The priors in the population
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Elsa
10 months ago
D) The probability cutoff for scoring
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Denna
10 months ago
A) The priors in the population
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Hortencia
11 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
11 months ago
I agree with Donte, as you move along the curve, the probability cutoff for scoring changes.
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Na
11 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
11 months ago
I think the answer is D) The probability cutoff for scoring.
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Youlanda
11 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
10 months ago
Got it, thanks for clarifying!
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Gwenn
10 months ago
So, the answer is D) The probability cutoff for scoring.
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Cortney
10 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
10 months ago
I think the probability cutoff for scoring changes as you move along the ROC curve.
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