In statistics, the Huber loss is a loss function used in robust regression that is less sensitive to outliers in data than the squared error loss. A variant of the loss is also sometimes used for classification tasks. This description is adapted from Wikipedia contributors under CC BY-SA 4.0; changes were made. https://creativecommons.org/licenses/by-sa/4.0/
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In statistics, the Huber loss is a loss function used in robust regression, that is less sensitive to outliers in data than the squared error loss.
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In statistics, the Huber loss is a loss function used in robust regression, that is less sensitive to outliers in data than the sq
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