Closed mahdisn76 closed 5 years ago
in the original paper by the algorithm's creator it is quoted that:
Using the anomaly score s, we are able to make the following assessment: • (a) if instances return s very close to 1, then they are definitely anomalies, • (b) if instances have s much smaller than 0.5, then they are quite safe to be regarded as normal instances, and • (c) if all the instances return s ≈ 0.5, then the entire sample does not really have any distinct anomaly.
so I need something like this.
I need to add this. Right now it's just returning the average path length.
So now it is not possible to detect whether a data is normal or it is abnormal? if it is not, when do you think you can add this feature?
Right now, you'd have to draw an arbitrary line based on the path length. However, I can probably add this in the next few days.
Thanks a lot that will be great. I'm waiting for it.
Added a NormalizedScore() method (in python, rust, and cpp).
Released in v.1.1 as "NormalizedScore".
Hi, I'm using C++. My question is, what is the return value of Score function? how can I detect a sample is anomaly or not based on the Score return value? Thank you in advance.