Outlier: Difference between revisions
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In machine learning terms, an outlier is an instance that is very different from other instances in the sample. An outlier may indicate an abnormal behavior of the system. | In machine learning terms, an outlier is an instance that is very different from other instances in the sample. An outlier may indicate an abnormal behavior of the system. | ||
An outlier may be a novel, previously unseen but valid case (see [[novelty detection]]). | |||
== See also == | == See also == | ||
* [[Anomaly detection]] | * [[Anomaly detection]] | ||
Latest revision as of 23:48, 3 May 2022
In machine learning terms, an outlier is an instance that is very different from other instances in the sample. An outlier may indicate an abnormal behavior of the system.
An outlier may be a novel, previously unseen but valid case (see novelty detection).