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. | ||
== See also == | |||
* [[Anomaly detection]] | |||
Revision as of 23:44, 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.