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‎08-03-2020 08:38 AM
Can someone give me a detailed definition of what recall means in Predictive Intelligence? I've gone over the docs, blogs, community postings and about the best thing I can find is: Percentage of false positives captured
Is that all there is too it? Identifying false positives?
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‎08-27-2020 07:22 PM
Hi Gary, sorry you had to wait 25d for response on this one. Completely missed your question.
Recall is the ratio of True Positives/True Positives + False Negatives (see below graphic).
From a tuning perspective we increase recall to decrease false negatives and we increase precision to decrease false positives (see below graphic).
What this means in predictive intelligence is that you have the ability to set the target for recall, which then adjusts precision and coverage dynamically to hit that recall target. Same with precision. This allows you to tune the PI model w/o having to add new inputs to your solution definition. I created the below for one of my customers using CSM customer and it's based on a great LinkedIn article. HTH - Lener

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‎08-27-2020 07:22 PM
Hi Gary, sorry you had to wait 25d for response on this one. Completely missed your question.
Recall is the ratio of True Positives/True Positives + False Negatives (see below graphic).
From a tuning perspective we increase recall to decrease false negatives and we increase precision to decrease false positives (see below graphic).
What this means in predictive intelligence is that you have the ability to set the target for recall, which then adjusts precision and coverage dynamically to hit that recall target. Same with precision. This allows you to tune the PI model w/o having to add new inputs to your solution definition. I created the below for one of my customers using CSM customer and it's based on a great LinkedIn article. HTH - Lener
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‎08-31-2020 01:45 PM
Thanks Lener, this helps.
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‎05-31-2023 06:24 AM
Hi Lener,
So in the case of Incident Assignment group classification, how would this be defined?

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‎05-31-2023 07:06 PM - edited ‎05-31-2023 07:11 PM