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Values distant from most other values. In machine learning, any of the following are outliers:
Weights with high absolute values.
Predicted values relatively far away from the actual values.
Input data whose values are more than roughly 3 standard deviations from the mean.
Outliers often cause problems in model training. Clipping is one way of managing outliers.
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