AI engineering glossary · Classical ML algorithms
What is isolation forest?
Isolation forest: An anomaly-detection method that builds random trees which split data at random feature values. Unusual points get separated from the rest after only a few splits, so a short average path length signals an outlier.
Isolation forest: an example
Flagging an unusual UPI transaction of 9 lakh among typical 200 to 2,000 rupee payments, since it is isolated in just 2 splits.
Related terms
More Classical ML algorithms terms
- K-means
- k-nearest neighbours
- KD-tree
- Kernel PCA
- Kernel trick
- Laplace smoothing
- Lasso regression
- Lazy learning
Where you learn it
Isolation forest is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.