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Refer to the ROC curve:
As you move along the curve, what changes?
Suggested Answer: C
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37 comments · newest first
MI
Micah
11 months ago
I thought it was more about the priors in the population, though.
IN
In
11 months ago
Definitely the cutoff, that's how ROC curves work!
TR
Tricia
11 months ago
Wait, are you sure it's not about the true negative rate?
EV
Evan
12 months ago
Totally agree, it's all about adjusting the threshold!
DO
Dottie
12 months ago
The probability cutoff changes as you move along the ROC curve.
SO
Sommer
1 year ago
I thought the priors in the population were important, but I don't think they change as you move along the curve.
TR
Truman
1 year ago
This question feels familiar; I practiced one where we discussed how the cutoff impacts sensitivity and specificity.
MA
Margo
1 year 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.
CE
Ceola
1 year 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.
JE
Jessenia
1 year 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.
KR
Kristal
1 year 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.
MO
Mohammad
1 year 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.
SH
Sherill
1 year 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.
AA
Aaron
1 year 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.
LI
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.
EL
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.
CH
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.
TH
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.
BO
Bonita
2 years 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.
CO
Cordie
1 year ago
User 3: The proportion of events in the training data is affected by the movement along the curve.
RO
Roxane
1 year ago
User 2: The true negative rate in the population also changes.
AL
Alva
1 year ago
User 1: The probability cutoff for scoring changes as you move along the curve.
BE
Ben
2 years 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.
BR
Brendan
1 year ago
C) The proportion of events in the training data
AL
Alysa
1 year ago
D) The probability cutoff for scoring
LE
Lettie
1 year ago
A) The priors in the population
EL
Elsa
1 year ago
D) The probability cutoff for scoring
DE
Denna
1 year ago
A) The priors in the population
HO
Hortencia
2 years ago
I'm not sure, but I think it might also be C) The proportion of events in the training data.
DO
Doug
2 years ago
I agree with Donte, as you move along the curve, the probability cutoff for scoring changes.
NA
Na
2 years 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.
DO
Donte
2 years ago
I think the answer is D) The probability cutoff for scoring.
YO
Youlanda
2 years 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.
HO
Hobert
1 year ago
Got it, thanks for clarifying!
GW
Gwenn
1 year ago
So, the answer is D) The probability cutoff for scoring.
CO
Cortney
2 years ago
Yes, that's correct. The ROC curve shows the trade-off between true positive rate and false positive rate.
MA
Maynard
2 years ago
I think the probability cutoff for scoring changes as you move along the ROC curve.