Isolation Forest › Visualizing Isolation Forest

Michael BrenndoerferJuly 6, 20253 min read
Machine Learning from ScratchAll chapters
Part 5 of 9Tree-Based Models
Chapter 47Isolation Forest › Visualizing Isolation Forest
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Let's create a visualization that demonstrates how Isolation Forest works by showing the isolation process and how different types of points get different anomaly scores.

Out[7]:
Visualization
Scatter plot showing original dataset with normal (blue) and anomalous (coral) points.
Original dataset showing normal data points (blue) clustered together and true anomalies (coral) scattered throughout the feature space. Here are the ground truth labels that Isolation Forest will attempt to learn to identify.
Scatter plot showing Isolation Forest predictions of normal (blue) and anomalous (amber) points.
Isolation Forest predictions showing detected anomalies (amber) and normal points (blue). The algorithm correctly identifies most anomalies while maintaining low false positive rate.