Outlier: Difference between revisions
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(Created page with "Outliers are samples that show abnormal distance from other samples. They impact the accuracy of the model. Outliers are detected during Exploratory data analysis. Several detection methods are listed. *Background knowledge such as impossible values like negative age *Visualization such as scatter plot *Data Analysis such as box plot *ML algorithms such as One-Class-SVM Category:Machine Learning") |
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Revision as of 06:47, 26 April 2024
Outliers are samples that show abnormal distance from other samples. They impact the accuracy of the model.
Outliers are detected during Exploratory data analysis. Several detection methods are listed.
- Background knowledge such as impossible values like negative age
- Visualization such as scatter plot
- Data Analysis such as box plot
- ML algorithms such as One-Class-SVM
