Data Science

Interpretation of Isolation Forest with SHAP

An easy way to understand the most contributing features for anomaly detection

Illustration by author

Isolation Forest is one of the most used techniques to detect anomalies in the data. It’s based on a “forest” of trees, where each isolation tree isolates anomalous observations from the rest of the data points…