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Databricks Machine Learning Professional Exam - Topic 12 Question 31 Discussion

Posted by Kaitlyn on Nov 13, 2024 at 10:32 AM

Which of the following describes label drift?

Suggested Answer: C

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32 comments · newest first
JE
Jerry 10 months ago
None of these options seem to nail it down completely.
CA
Casie 11 months ago
I agree, it's all about the target variable changing.
ME
Melissa 11 months ago
Wait, I thought label drift was just a myth?
BR
Brock 11 months ago
I think it's more about input variables, not targets.
BL
Blossom 11 months ago
Label drift is definitely about changes in target distribution.
LO
Louis 12 months ago
From what I studied, label drift is definitely about changes in the target variable's distribution. I think option E might be the right answer.
MI
Miriam 12 months ago
I'm a bit confused. I feel like label drift could be about input variables too, but I can't recall the exact definition.
EL
Elliott 12 months ago
I remember practicing a question about label drift, and I think it was related to how the model's predictions change over time.
FR
Francine 1 year ago
I think label drift has something to do with changes in the target variable, but I'm not sure if it's just the distribution or something else.
FL
Fletcher 1 year ago
I'm not sure about this one. The options seem quite similar, and I'm not sure I fully understand the concept of label drift. I'll have to guess and hope for the best.
SH
Sheridan 1 year ago
I'm pretty confident that the answer is E - label drift is when there is a change in the distribution of a target variable. That's what I remember from the lectures.
WA
Wade 1 year ago
Okay, I've got this. Label drift is about changes in the relationship between the input variables and the target variable, so I'm going to go with option D.
BU
Bulah 1 year ago
Hmm, I'm a bit confused by this question. I'm not entirely sure what "label drift" means. I'll have to think about it carefully and review my notes before selecting an answer.
GA
Gail 1 year ago
This question seems straightforward. I think the correct answer is A - label drift is when there is a change in the distribution of the predicted target given by the model.
RY
Ryan 2 years ago
Label drift, huh? Sounds like a new dance move. I'll stick with the Macarena for now.
AH
Ahmed 2 years ago
B? Really? That's a cop-out answer. Of course one of these options describes label drift!
ER
Erasmo 2 years ago
Hmm, I'm going with E. Changes in the target variable distribution is the essence of label drift, isn't it?
CO
Cory 2 years ago
↳ replying to Erasmo
No, label drift is specifically about changes in the distribution of the target variable.
IN
Inocencia 2 years ago
↳ replying to Erasmo
So, you're saying label drift is when there is a change in the relationship between input variables and target variables?
JA
Jaime 2 years ago
↳ replying to Erasmo
Actually, I believe label drift is when there is a change in the distribution of a target variable.
GE
Gearldine 2 years ago
↳ replying to Erasmo
I think label drift is when there is a change in the distribution of the predicted target given by the model.
TE
Telma 2 years ago
D sounds good to me. The relationship between inputs and targets is key for label drift.
MY
My 2 years ago
↳ replying to Telma
Yes, D is the most accurate description of label drift.
MO
Mozelle 2 years ago
↳ replying to Telma
I agree, D is the correct option for label drift.
ST
Stevie 2 years ago
I think option A is the correct answer. It seems to best describe what label drift is all about.
NA
Nathan 2 years ago
↳ replying to Stevie
I think we should go with option A for the answer.
KA
Kaycee 2 years ago
↳ replying to Stevie
I'm not sure, but I think option D could also be a possibility.
AL
Alaine 2 years ago
↳ replying to Stevie
I think label drift is when there is a change in the distribution of the predicted target given by the model.
SH
Shaunna 2 years ago
↳ replying to Stevie
I agree, option A is the correct answer.
KR
Kris 2 years ago
Hmm, I see your point. But I still think it's about the predicted target distribution changing.
JO
Johnetta 2 years ago
I disagree, I believe label drift is when there is a change in the distribution of a target variable.
KR
Kris 2 years ago
I think label drift is when there is a change in the distribution of the predicted target given by the model.
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