I dont post the question without going through previous posts and discussions , I got confused with different responses and clarifications on Anomaly likelihood , Hence I posted the question
In one of the documentation says , Anomaly likelihood is the
probability or confidence level on the current anomaly score , for ex : - anomaly score is .3 and Anomaly likelihood is .9999 , what I understood from the documentation is system is 99.99% confident that anomaly score is .3
As per the below documentation , System is 99.99% confident that current score is an anomaly .
anomalyProbability(value, anomalyScore, timestamp=None)
Compute the probability that the current value plus anomaly score represents an anomaly given the historical distribution of anomaly scores. The closer the number is to 1, the higher the chance it is an anomaly.
Pls let me know which one is correct
Pls confirm my understanding
we have to use Anomaly likelihood when environment is extremely noisy (lot of fluctuations in the values )
We need look into Anomaly likelihood score when anomaly score is high .