We are seeing too many false positives with our current automated lead scoring models, how does Microsoft Dynamics address this issue natively?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
We are seeing too many false positives with our current automated lead scoring models, how does Microsoft Dynamics address this issue natively?
1 real search · 1 real-search pass
Microsoft Dynamics 365 Sales predictive lead scoring documentation false positives model quality threshold lead scoringGoogle ↗
OBSERVED
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
Classifying 1 queries…
Searches and sources
ChatGPT1 real searches · gpt-6
Microsoft Dynamics 365 Sales predictive lead scoring documentation false positives model quality threshold lead scoring Google ↗