Isolation Forest Concept and Pseudocode

Anomaly Detection

Patrizia Castagno

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Isolation Forest (IF) is a unsupervised learning algorithm for identiying outilers. It’s similar to Random Forest, i.e, are build based on decision trees, but there are no pre-defined labels.

Photo by Amber Kipp on Unsplash

In an Isolation Forest, randomly chosen subsets of data are processed in a tree structure using randomly selected features. Instances that delve deeper…

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Patrizia Castagno

Physics and Data Science.Eagerly share insights and learn collaboratively in this growth-focused space.LinkedIn:www.linkedin.com/in/patrizia-castagno-diserafino