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TOMME - an initial approach to a universally applicable weighted error-based metric for data quality that allows the data quality of a dataset to be assessed based on a single score and enables rapid assessment and automated processing for optimization algorithms.
Synthetic data is extremely important in areas such as data quality, data cleaning, and machine learning. It enables the analysis of use cases in which real data is insufficient, unavailable, or distorted. However, generating synthetic data also presents challenges: The data must be as realistic as possible, but at the...
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