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.

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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?

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