RapidMiner 9.7 is Now Available

Lots of amazing new improvements including true version control! Learn more about what's new here.

CLICK HERE TO DOWNLOAD

Optimize Decision Tree and Optimize SVM

BalazsBaranyBalazsBarany Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert Posts: 454   Unicorn
edited November 2018 in Knowledge Base

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

Comments

  • s_webermiks_webermik Member Posts: 1 Contributor I

    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

Sign In or Register to comment.