Outlier Handling

From The Foundation for Best Practices in Machine Learning

Outlier Handling

Control

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.


Aim

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.


Additional Information