AKhatun_WMF added a comment.

  In T288262#7628599 <https://phabricator.wikimedia.org/T288262#7628599>, 
@MPhamWMF wrote:
  
  > @AKhatun_WMF , sorry, it's been a while since I wrote this, but I think 
what I meant when I wrote the question about "optimal separation" is given some 
distribution of ORES scores (e.g. a normal distribution), is it clear what the 
threshold is for what qualifies as a "high" vs "low" score: e.g. anything over 
.75 is a high score. But that's assuming the scores are continuous. I guess 
it's moot if they're binary (I don't actually know).
  >
  > If this isn't a sensible way of thinking about the issue, let me know if 
there's a better way.
  
  Ah, that I believe is already solved by the output of the model. Basically, 
we get probabilities for 5 classes (A to E) determining how good an item is, 
where A is the best and E is the worst. And then the score is calculated as 
`5*ProbabilityOfClassA + 4*ProbabilityOfClassB + 3*ProbabilityOfClassC + 
2*ProbabilityOfClassD + 1*ProbabilityOfClassE`. But we can definitely define 
our own thresholds as well.
  
  The analysis is done here: Wikidata_Item_ORES_Score_Analysis 
<https://wikitech.wikimedia.org/wiki/User:AKhatun/Wikidata_Item_ORES_Score_Analysis>
  
  I will be doing a bit more to get the scores per subgraph and will add it 
here as well.

TASK DETAIL
  https://phabricator.wikimedia.org/T288262

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To: AKhatun_WMF
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