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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?

AThe priors in the population

BThe true negative rate in the population

CThe proportion of events in the training data

DThe probability cutoff for scoring

Show Suggested Answer

Suggested Answer: C

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

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Micah

6 months ago

I thought it was more about the priors in the population, though.

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In

7 months ago

Definitely the cutoff, that's how ROC curves work!

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Tricia

7 months ago

Wait, are you sure it's not about the true negative rate?

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Evan

7 months ago

Totally agree, it's all about adjusting the threshold!

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Dottie

7 months ago

The probability cutoff changes as you move along the ROC curve.

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Sommer

8 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

8 months ago

This question feels familiar; I practiced one where we discussed how the cutoff impacts sensitivity and specificity.

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Margo

8 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

8 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

8 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

8 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

8 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

8 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

8 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

1 year 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

1 year 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 year 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 year 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

1 year 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

12 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

1 year ago

User 2: The true negative rate in the population also changes.

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Alva

1 year ago

User 1: The probability cutoff for scoring changes as you move along the curve.

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Ben

1 year 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

1 year ago

C) The proportion of events in the training data

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Alysa

1 year ago

D) The probability cutoff for scoring

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Lettie

1 year ago

A) The priors in the population

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Elsa

1 year ago

D) The probability cutoff for scoring

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Denna

1 year ago

A) The priors in the population

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Hortencia

1 year 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

1 year ago

I agree with Donte, as you move along the curve, the probability cutoff for scoring changes.

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Na

1 year 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

1 year ago

I think the answer is D) The probability cutoff for scoring.

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Youlanda

1 year 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

1 year ago

Got it, thanks for clarifying!

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Gwenn

1 year ago

So, the answer is D) The probability cutoff for scoring.

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Cortney

1 year 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

1 year ago

I think the probability cutoff for scoring changes as you move along the ROC curve.

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