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Exam Certified Machine Learning Professional All Questions

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Actual exam question from Databricks's Certified Machine Learning Professional
Question #: 1
Topic #: 1
[All Certified Machine Learning Professional Questions]

Which of the following describes concept drift?

  • A. Concept drift is when there is a change in the distribution of an input variable
  • B. Concept drift is when there is a change in the distribution of a target variable
  • C. Concept drift is when there is a change in the relationship between input variables and target variables
  • D. Concept drift is when there is a change in the distribution of the predicted target given by the model
  • E. None of these describe Concept drift
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Suggested Answer: C 🗳️
by BokNinja at Dec. 19, 2023, 5:36 a.m.

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BokNinja
Highly Voted 2 months ago
C. Concept drift is when there is a change in the relationship between input variables and target variables. Concept drift refers to the situation when the statistical properties of the target variable, which the model is trying to predict, change over time in unforeseen ways. This causes the model to become less accurate as time passes.
upvoted 6 times
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Oreocake
Most Recent 4 months, 1 week ago
Selected Answer: C
C is correct
upvoted 1 times
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zafarsohaib
5 months, 1 week ago
Answer is C. Concept drift is a change in the relationship between the input data and the model target.
upvoted 1 times
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sindhu_gowda
5 months, 2 weeks ago
Selected Answer: C
Answer is C
upvoted 1 times
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c4b65b5
5 months, 2 weeks ago
Selected Answer: C
C is correct
upvoted 1 times
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nnn_666
8 months, 3 weeks ago
Selected Answer: C
concept drift or drift is an evolution of data that invalidates the data model
upvoted 2 times
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ADVIT
9 months ago
Selected Answer: C
Answer is C
upvoted 2 times
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hugodscarvalho
10 months ago
Selected Answer: C
C
upvoted 2 times
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random_data_guy
11 months ago
Selected Answer: C
agree with BokNinja - C should be correct
upvoted 2 times
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