Outlier Occurrence Rates

From The Foundation for Best Practices in Machine Learning

Outlier Occurrence Rates


Document and assess outliers, their causes, and occurrence rates as a function of their location in data space. If numerous and persistent, include mitigating measures in Model design accordingly.


To (a) identify outliers and assess the need for Model design adaptation; and (b) highlight associated risks that might occur in the Product Lifecycle.

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