Math Beneath AI

[Karen1015]

I have searched the math beneath the function, AI , in Power BI. But I only know the model used in Key Influencers visualization is regression, and the model used in Decomposition Tree Visual is decision tree. There is no article showing how these models work. Can anyone tell me how the models work. There are many setup when running these models. So, I wonder how to calculate the input values to get the output values. To have the best interpretation of a dashboard, I must know the theory. Thanks for a million.

[Karen1015]

These are templates about decomposition tree visuals and key influencers visualizations. I wonder how to calculate these values below. What formulas are used?

 

https://docs.microsoft.com/en-us/power-bi/visuals/power-bi-visualization-decomposition-tree

https://docs.microsoft.com/en-us/power-bi/visuals/power-bi-visualization-influencers

[Anonymous]

Hi @Karen1015 ,

Not clear about your question.

If you want to know about data modeling, please kindly take a look at :

Or do you want to know how to use the most appropriate graph in Power BI based on your data? If so, hope these blogs help:
Choosing charts for data visualization

Best ways to visualise your data in Power BI - PragmatiQ Solutions

Best Regards,
Eyelyn Qin
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