Isolation Forest is an anomaly detection algorithm which generates an anomaly score for each observation in our sample. This anomaly score is generated on the basis of average number of split required to isolate a point in a random tree.
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View Code? Open in Web Editor NEWImplementation of Isolation Tree on Numpy