As with other machine learning models, the synthetic generator improves with training, leading to an increase in the accuracy of the generated synthetic data. However, training should be terminated earlier with pre-defined early stopping criteria. Continuing further training would increase the chances of overfitting the training data, which would pose a privacy risk.
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