What is the tradeoff between model explainability and performance?
Reviewed by Jason Burns, Editorial Steward · Last updated
The tradeoff between explainability and performance is that simpler, more interpretable models (linear, small trees, rules) are easier to audit but often less accurate than large, opaque models like deep neural nets and ensembles on complex tasks.