Generative models can assist in prioritizing IT service incidents and requests by analyzing historical incident data, severity levels, and business impact, helping organizations allocate resources more effectively and improve incident resolution times.
In this scenario, I've created a classification definition.
In my machine learning solution, I am unclear about how the solution's statistics are calculated.
I tested one record but was unable to generate a prediction result.
Regarding the screenshot below, I am unsure how the distribution values are calculated.
Additionally, I am confused about where to view the prioritized incidents—whether in the table, dashboard, or the ML solution itself.
Could you please confirm if the steps I've outlined are correct for executing the use case mentioned above?
Thank you in advance!
