How can I tell if our automated sales lead scoring model is suffering from model drift and what should I do about it.
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How can I tell if our automated sales lead scoring model is suffering from model drift and what should I do about it.
1 real search · 1 real-search pass
production machine learning model monitoring data drift concept drift calibration PSI thresholds lead scoring performance monitoringGoogle ↗
OBSERVEDReason
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.
ChatGPT real searches (1)
Classes come from the query-classifier (a local Laya model). 1 of 1 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT1 real searches · gpt-6
production machine learning model monitoring data drift concept drift calibration PSI thresholds lead scoring performance monitoring Google ↗
- Model monitoring in production - Azure Machine Learning · learn.microsoft.com
- Concept | Monitoring model performance and drift in production - Dataiku 15 · knowledge.dataiku.com