Outlier (Data Science): 편집 역사

2024년 12월 2일 (월)

• 최신이전 13:112024년 12월 2일 (월) 13:11‎ Dendrogram 토론 기여‎ 4,314 바이트 +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... 태그: 시각 편집