Reporting on Predictive Intelligence Similarity model over time

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06-07-2022 06:07 AM
Hi Everyone,
Is there a way to report on the usage of predictive intelligence similarity model ie. similar to the predictor results report dashboard which captures classification solution. Or its only the Stakeholders/Service desk agent session to confirm the results are relevant and helpful?

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06-08-2022 01:56 AM - edited 06-25-2024 06:00 AM
Hello Mexiprince,
Similarity solution predictions are recorded in table [ml_predictor_results] and in the Predicted Output Value field, it will list all the sys_ids of the predicted records returned to the user for your Similarity solution -
However, the Prediction Results Report only reports on predictions for Classification and Similarity solutions. The Solution reference field is linked to the [ml_solution] table and a new solution version record is created every time the solution is trained.
Indeed, the Service Desk agent would need to confirm which predicted result is relevant and helpful -
I hope this helps.
Regards,
Brian
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06-16-2024 05:09 AM
Hi Brian, Is there a reference to the business rule implemented to enable similarity solutions results under the predictor result table? Currently, I can find only classification solution records in this table. I would like to store the similarity results as well. Do I need to create a new business rule? If so- is there any template I can use?

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06-25-2024 05:59 AM - edited 06-25-2024 06:01 AM
No BR is required for Similarity Solution results to be populated in the Predictor Results table, and it should auto-populate Similarity results in this table.
Note: The Test Solution tab on the trained solution record [ml_solution] will never add entries in table [ml_predictor_results], as these are considered as test predictions, and should not be recorded.
I hope that answers your question.
Note: I corrected the previous reply from 2 years ago, as we now also record Similarity solution results in table [ml_predictor_results].
Regards,
Brian

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06-08-2022 10:21 AM
Thanks Brian