I have been studying some tutorials of artificial intelligence as part of beginners’ tutorials. Unfortunately, I don’t understand one central issue and I think I need some support.
The note scorer is a prediction based on a column, like in the Titanic or IRIS tutorials.
For example here
What I am looking for and do not understand: Where is the result of the AI? Or do I miss something?
Result K/ Prediction
I am looking for a workflow which shoes me the guess/result of the ai in a row (like in Result K/ prediction) and how sure the ai is (convidence level).
It would be great if you have a link for me which shoes a workflow. I am sorry. Did not find it.
Thank you in advance.
@UGChris you can have a philosophical conversation about what KI is and what machine-learning. In any case I would recommend you use some of the resources recommended here and examine them. There also will be sample workflows.
@Everfresh000 welcome to the KNIME forum. As a basic remark: since this is an exam the topics should be covered in the course. But anyway…
If you want to start about learning KNIME and machine-learning I would recommend to take these two courses on the KNIME Learning platform https://knime.learnupon.com/.
[L1-DS] KNIME Analytics Platform for Data Scientists: Basics
[L2-DS] KNIME Analytics Platform for Data Scientists: Advanced
(Examples and workflows for courses are provided here: knime/Educ…
One simple example where you will be able to interpret the model (rules that is) would be here with a decision tree (maybe also check the
additional linked resources):
Thanks for the link. I’m already looking in. Maybe I need to understand the goal of an Artificial Intelligence.
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