Isolation Forests for Anomaly or Outlier Detection

Published: 03 August 2024
on channel: Rajistics - data science, AI, and machine learning
768
29

Lonely Data 😂
Isolation Forest has you covered

Isolation Forests is an anomaly detection algorithm that builds trees to partition data, isolating "lonely" points or outliers with fewer partitions. This makes them efficient and effective for identifying anomalies, such as in fraud detection, using simple and accessible methods available in various open-source packages.
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