early stopping
Concept
Strategy within machine learning to avoid overfitting by stopping model training when the error flattens. Alternatively when the difference between the training and validation set increases.
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Strategy within machine learning to avoid overfitting by stopping model training when the error flattens. Alternatively when the difference between the training and validation set increases.