RapidMiner

Optimize Decision Tree and Optimize SVM

Elite II

Optimize Decision Tree and Optimize SVM

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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Balázs Bárány
Data Scientist, Vienna
https://datascientist.at

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