Optimize Decision Tree and Optimize SVM

BalazsBarany

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

s_webermik

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