When should you keep outliers instead of removing them?
PICTURE THIS: HOW TO EXPLAIN IT
Simple meaning
Keep them when they are valid rare events you care about, such as whale spenders, outages, or fraud.
WHY — Outliers instead of guessing?
Why interviewers care about Outliers:
on Outliers.
the situation, the default choice, and one exception - that reads as experience.
Name the idea, why it exists, then one short example.
End with when you use it and one common pitfall.
STEPS — What happens step by step?
Before you speak the answer, walk the interviewer through these steps:
- 1Keep them when they
are valid rare events you care about, such as whale spenders, outages, or fraud.
- 2Removing them because they
hurt a model's RMSE can hide the actual business problem.
- 3Document a policy: cap,
separate model, or robust loss, rather than silent deletion.
- 4Give an example
One tiny concrete case you can say aloud.
- 5Common mistake
What juniors usually get wrong.
- 6Close
When you pick this over the alternative.
EXAMPLE — See it in action
Here's a short line you can speak, broken into clear beats:
Note: Adapt this scaffold to your own project — keep it under 60–90 seconds.
Key takeaway
Keep them when they are valid rare events you care about, such as whale spenders, outages, or fraud. Removing them because they hurt a model's RMSE can hide the actual business problem.