Outlier (Data Science): Revision history

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    1 December 2024

    • curprev 23:1123:11, 1 December 2024‎ Dendrogram talk contribs‎ 4,314 bytes +4,314‎ 새 문서: '''Outlier''' refers to a data point that significantly deviates from other observations in a dataset. Outliers can arise due to variability in the data, errors in measurement, or rare events. Identifying and addressing outliers is critical in data preprocessing, as they can influence statistical analyses and machine learning models. ==Characteristics of Outliers== Outliers exhibit the following traits: *'''Deviation from Patterns:''' They do not conform to the general distribut... Tag: Visual edit
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