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Unferfitting is the opposite of overfitting. In the case of data synthesization, this means that the model is not well trained, which leads to a decrease in the quality of the resulting synthetic data and its usefulness. This can be caused by an inappropriate model, wrong settings of various hyperparameters, or short training.

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