samuel

> If I may also share some thoughts on this: > > IMHO it is important to distinguish between training, scoring, and decision in the case of outlier detectors and...

still confused, may be it would worked good with any other algorithms.

> I believe that is due to the built in randomness of iforest. It has nothing to do with contamination. The score changes every time For me, the iforest model...

> To answer this properly, it depends on what you see as your output and how you change the contamination value to acquire different output scores. > > 1. If...