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Topic: YCA1974
Hi. I am new to using this tool and I have a question to ask them. Is it possible to know what is the specific rule that is defining the decision making at the output of a model?

For example, suppose we have a model with many attributes and instances and a decision tree apprentice in the form of rules, say it generates 100 rules with a depth of 12. We run the model and then we have an output that predicts a result. So far so good, but if I wanted to know which rule led me to this result as I could do in rapidminer?

thanks for your help

by guest Tue Jun 06 10:58:37 UTC 2017
 
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