I have recently implemented an Isolation forest algorithm, called Streaming HS-Trees, to performing outlier detection on streaming data.
Now I am wondering how this algorithm should be tested. I have only been able to perform a small amount of unit testing since the machine-learning part being "random" and all.
So my question is: What else is done to test an Isolation Forest algorithm?
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