Outlier: Difference between revisions
(Created page with "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.") Tags: Mobile edit Mobile web edit |
No edit summary Tags: Mobile edit Mobile web edit |
||
| (One intermediate revision by the same user not shown) | |||
| Line 1: | Line 1: | ||
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 == | |||
* [[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).