Anomaly Detection using Isolation Forest

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Издатель Sep 2, 2020

#datascience #timeseries #isolationforest

Anomaly detection using Facebook Prophet - https://youtu.be/0wfOOl5XtcU

Isolation forest is an unsupervised learning algorithm for anomaly detection that works on the principle of isolating anomalies

Isolation Forest builds an ensemble of “Isolation Trees for the data set, and anomalies are the points that have shorter average path length

The Isolation Forest ‘isolates’ observations by randomly selecting a feature and then randomly selecting a split value between the maximum and minimum values of the selected feature.