Hello,
according to the documentation regarding machine learning jobs the machine learning score depends on the probability that is calculated for the specific metrics and there are 3 different scores (Bucket, Influencer and records scoring) But again how is the probability calculated? And how can I drill down to events to see what caused e.g. the score decrease? I would also like to know if there is a simple way to explain what is the difference among the 3 types of scoring, cause i find it a bit confusing.
Thank you in advance,
Vivian