Deal of The Day! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions
Mail Us support@pass4success.com
Location US
Mob_nav_barsMENU

Databricks Machine Learning Professional Exam - Topic 12 Question 31 Discussion

Which of the following describes label drift?
C) Label drift is when there is a change in the distribution of an input variable
A) Label drift is when there is a change in the distribution of the predicted target given by the model
B) None of these describe label drift
D) Label drift is when there is a change in the relationship between input variables and target variables
E) Label drift is when there is a change in the distribution of a target variable

Databricks Machine Learning Professional Exam - Topic 12 Question 31 Discussion

Actual exam question for Databricks's Databricks Machine Learning Professional exam
Question #: 31
Topic #: 12
[All Databricks Machine Learning Professional Questions]

Which of the following describes label drift?

Show Suggested Answer Hide Answer
Suggested Answer: C

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

Limited Time Offer

25%

Off

Get Premium Databricks Machine Learning Professional Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

0/2000 characters
Submit Cancel
Jerry
7 months ago
None of these options seem to nail it down completely.
upvoted 0 times
...
Casie
8 months ago
I agree, it's all about the target variable changing.
upvoted 0 times
...
Melissa
8 months ago
Wait, I thought label drift was just a myth?
upvoted 0 times
...
Brock
8 months ago
I think it's more about input variables, not targets.
upvoted 0 times
...
Blossom
8 months ago
Label drift is definitely about changes in target distribution.
upvoted 0 times
...
Louis
9 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.
upvoted 0 times
...
Miriam
9 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.
upvoted 0 times
...
Elliott
9 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.
upvoted 0 times
...
Francine
9 months 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.
upvoted 0 times
...
Fletcher
9 months 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.
upvoted 0 times
...
Sheridan
9 months 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.
upvoted 0 times
...
Wade
9 months 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.
upvoted 0 times
...
Bulah
9 months 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.
upvoted 0 times
...
Gail
9 months 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.
upvoted 0 times
...
Ryan
2 years ago
Label drift, huh? Sounds like a new dance move. I'll stick with the Macarena for now.
upvoted 0 times
...
Ahmed
2 years ago
B? Really? That's a cop-out answer. Of course one of these options describes label drift!
upvoted 0 times
...
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?
upvoted 0 times
Cory
1 year ago
No, label drift is specifically about changes in the distribution of the target variable.
upvoted 0 times
...
Inocencia
1 year ago
So, you're saying label drift is when there is a change in the relationship between input variables and target variables?
upvoted 0 times
...
Jaime
1 year ago
Actually, I believe label drift is when there is a change in the distribution of a target variable.
upvoted 0 times
...
Gearldine
2 years ago
I think label drift is when there is a change in the distribution of the predicted target given by the model.
upvoted 0 times
...
...
Telma
2 years ago
D sounds good to me. The relationship between inputs and targets is key for label drift.
upvoted 0 times
My
2 years ago
Yes, D is the most accurate description of label drift.
upvoted 0 times
...
Mozelle
2 years ago
I agree, D is the correct option for label drift.
upvoted 0 times
...
...
Stevie
2 years ago
I think option A is the correct answer. It seems to best describe what label drift is all about.
upvoted 0 times
Nathan
2 years ago
I think we should go with option A for the answer.
upvoted 0 times
...
Kaycee
2 years ago
I'm not sure, but I think option D could also be a possibility.
upvoted 0 times
...
Alaine
2 years ago
I think label drift is when there is a change in the distribution of the predicted target given by the model.
upvoted 0 times
...
Shaunna
2 years ago
I agree, option A is the correct answer.
upvoted 0 times
...
...
Kris
2 years ago
Hmm, I see your point. But I still think it's about the predicted target distribution changing.
upvoted 0 times
...
Johnetta
2 years ago
I disagree, I believe label drift is when there is a change in the distribution of a target variable.
upvoted 0 times
...
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.
upvoted 0 times
...

Save Cancel