Outlier Handling

From The Foundation for Best Practices in Machine Learning

Outlier Handling


Document and assess the effect of various outlier handling procedures on (a) Performance Robustness and (b) Representativeness & Specification. Ensure that only procedures are implemented that positively affect both.


To (a) ensure that outlier removal is not used to heedlessly improve test-time performance only and (b) highlight associated risks that might occur in the Product Lifecycle.

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