Paper-to-Code Implementation

Isolation Forest
Anomaly Detection

Liu, F. T., Ting, K. M., & Zhou, Z.-H. (2008). Isolation Forest. 2008 Eighth IEEE International Conference on Data Mining, 413–422.

The isolation-tree splitting and anomaly-score logic below are implemented from scratch in NumPy, directly from the algorithm described in this paper — no scikit-learn model is used.

Fig. 1 — Upload a CSV to train the forest, then score it for anomalies.

Isolation ForestAnomaly Detection

Isolation Forest
Anomaly Detection