Isolation Forest
Anomaly detection as rare cases can be detected using trees. Idea behind: If tree models isolate samples fast, (meaning average depth in three is lower than some threshold) then those samples will be classified as anomalies.
Isolation Forest
Anomaly detection as rare cases can be detected using trees. Idea behind: If tree models isolate samples fast, (meaning average depth in three is lower than some threshold) then those samples will be classified as anomalies.
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