How can I enhance my outlier detection models?

How can I enhance my outlier detection models?

To improve your outlier detection models, consider using ensemble methods, feature engineering, and tuning hyperparameters.

What are some effective ensemble methods for outlier detection?

Effective ensemble methods include Isolation Forest, Random Cut Forest, and combining multiple algorithms to increase robustness.

How important is feature engineering in this context?

Feature engineering is crucial as it helps in identifying relevant patterns and improving the model's ability to detect outliers.

Can you suggest some techniques for feature engineering?

Sure! Techniques include normalization, creating interaction features, and using domain knowledge to derive new features.