Find your people. Pick a challenge. Ship something real. The CreatorCon Hackathon is coming to the Community Pavilion for one epic night. Every skill level, every role welcome. Join us on May 5th and learn more here.

Predictive Intelligence Classification

Rohit Singh
Mega Sage

‎10-23-2024 03:25 AM

I am trying to Implement Predictive Intelligence Classification where my output filed is Assignment Group and input filed is Short description. I have trained my solution model for 40K records. Now I am testing my ML solution however I am not getting how the system is going to predict Assignment group based on the historical data. There are various parameters Estimated Precision, Estimated Recall and Estimated Coverage which I am not getting how it is calculated and how is it playing role while predicting. By distribution I understand that it is the percentage calculated from the total number of incident assigned to a group divided by Total number of historical Incidents.   

 

Please help in providing clarity. Thanks in advance.

0 Helpfuls
  • 1,058 Views
1 REPLY 1

dccairney
Tera Contributor

‎12-18-2024 04:06 AM

Hi Rohit, 

Once you have configured and deployed your model, you need to then go to recommended actions. 
Incident context, Configure a rule and Recommendation. You will also need a resource generator group which links back to your model. Here is were action inputs can be set. Do you need me to provide some screenshots? I could create a youtube video on how to setup and test?

0 Helpfuls