Outlier
Definition
An outlier deviates significantly from most other observations.
An observation that deviates significantly from most other data points in the considered feature space.
Simply explained
A single value lies conspicuously far outside what is usual for the other data.
Why it matters in practice
The term helps to select, develop, evaluate AI systems in a well-founded manner and realistically assess their technical risks.
Example from business
An unusually high processing time is professionally examined before model training.
Limits and pitfalls
- Automatically deleting outliers or equating unusual with faulty.
Origin & history
Outlier analysis is a classic part of exploratory statistics and quality control.
Use in mid-sized companies
- Possible application: An unusually high processing time is professionally examined before model training.
Frequently asked questions
What does outlier mean?
An observation that deviates significantly from most other data points in the considered feature space. What mistakes should be avoided? Automatically deleting outliers or equating unusual with faulty.
Sources
Source checked on 10.10.2026. Editorial application examples are hypothetical; no evidence of real customer results.
Editorially reviewed on: