Outlier
nounid
5011·updated May 18, 2026verified
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
polysemous
Attested in
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Classifications
Entity Type
Data100%manual revieweval-seeds-v0.4-2026-05-14
Sensitivity
unclassified
Information Class
unclassified
Variants
- plural
- Outliers
- possessive
- Outlier's
- pluralpossessive
- Outliers'
Framework definitions
- §1
- 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
- §1
- An outlier is a data value that lies in the tail of the statistical distribution of a set of data values.
- §1
- An outlier is a data point that is far from other points.
- §1
- an extreme deviation from the mean
- §2
- a person who lives away from his place of work
- §1 · legacy_primary
- 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 outliersDR-088 backfill from the noun definition column
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