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Certified Machine Learning Professional Exam - Question 1


Which of the following describes concept drift?

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Correct Answer: C,D

Concept drift refers to a change in the relationship between input variables and target variables over time. This change can cause the model's predictions to become less accurate as the original relationship the model learned is no longer valid. It is not merely a shift in the distribution of input or target variables but specifically in how they relate to each other.

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BokNinjaOption: C
Dec 19, 2023

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.

random_data_guyOption: C
Dec 27, 2023

agree with BokNinja - C should be correct

hugodscarvalhoOption: C
Jan 27, 2024

Concept drift is a change in the underlying relation between the data and the label. Doc: https://docs.deepchecks.com/stable/general/guides/drift_guide.html#concept-drift

ADVITOption: C
Feb 23, 2024

Answer is C

nnn_666Option: C
Mar 7, 2024

concept drift or drift is an evolution of data that invalidates the data model

c4b65b5Option: C
Jun 11, 2024

C is correct

sindhu_gowdaOption: C
Jun 11, 2024

Answer is C

zafarsohaibOption: C
Jun 17, 2024

Answer is C. Concept drift is a change in the relationship between the input data and the model target.

OreocakeOption: C
Jul 15, 2024

C is correct