이상치
Values distant from most other values.
Machine learning
In machine learning, any of the following are outliers:1
- Input data whose values are more than roughly 3 standard deviations from the mean.
- weights with high absolute values.
- Predicted values relatively far away from the actual values.
Outliers are often caused by typos or other input mistakes. In other cases, outliers aren’t mistakes; after all, values five standard deviations away from the mean are rare but hardly impossible.1
Outliers often cause problems in model training. Clipping is one way of managing outliers.1