How does outlier detection work?

Can you explain how outlier detection works?

Sure! Outlier detection identifies data points that differ significantly from the rest of the dataset.

What are some common methods used for outlier detection?

Common methods include statistical tests, clustering techniques, and machine learning algorithms like Isolation Forest.

Why is outlier detection important?

It's crucial for improving data quality, enhancing model performance, and identifying anomalies in various fields.

Can you give an example of where outlier detection is applied?

Certainly! It's used in fraud detection, network security, and quality control in manufacturing.