Glossary

Quality concerns:

Synthetic data may not capture rare events, outliers, or edge cases that are critical for model performance. - If the generation process is imperfect, the synthetic data may introduce biases not present in the real data — or fail to preserve biases that should be detected and addressed. - There is a

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