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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