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Optimize Decision Tree and Optimize SVM
BalazsBarany
Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert Posts: 955 Unicorn
Two building blocks for doing grid parameter optimization on an example set.
Decision tree: confidence, minimal gain, minimal size for split, criterion
SVM: kernel type, C, epsilon
Input1: Example set (should be ready for modeling, e. g. with label, only numeric attributes for SVM etc.)
Outputs: Performance, Parameters, Log
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Hi,
thanks, the decision tree block worked for me, but how can I see the decision tree with those optimized parameters?
With this I just get the performance, log, etc.; which became better but I cannot work with this to predict the important attributes.
Thanks & regards,
Mike