The Insights Dashboard
Designed to do one thing,
answer your question with your data.
The answer to your question
I want to explain my results
I want to find the root cause of my phenomena
I want to improve my yield
I want to describe my results in a decision tree
An AI model you can understand...
What best describes my data?
a formula? a decision tree?
Which parameters are important and which aren't?
things you can do, in simple English
Parameter #1 is the #1 contributor to your results
If you limit Config #3 to 4.1 you can increase output by 25%
Notice that your data is slightly imbalanced
If you add 100 measurements of "false" you can improve accuracy to 98%!