Which of the following issues should a data scientist be most concerned about when generating a synthetic data set?

The correct answer is D. The data set not being representative of the population. If synthetic data don't accurately mirror the real-world distributions and relationships, any models trained on them will perform poorly in deployment. Representativeness is the critical concern when generating synthetic data.

Data Governance and Ethics

Question

Options

AThe data set consuming too many resources
BThe data set having insufficient features
CThe data set having insufficient row observations
DThe data set not being representative of the population

How the community answered

(56 responses)

A
4% (2)
B
2% (1)
C
2% (1)
D
93% (52)

Explanation

If synthetic data don't accurately mirror the real-world distributions and relationships, any models trained on them will perform poorly in deployment. Representativeness is the critical concern when generating synthetic data.

Topics

#synthetic data#data representativeness#population bias#data quality

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