Visibility: public Uploaded 05-02-2015 by Jan van Rijn Weka_3.7.12 1187 runs
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  • study_1 study_41 Verified_Learning_Curve,Verified_Supervised_Classification weka weka_3.7.12
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Weka implementation of RBFClassifier


-do-not-check-capabilitiesIf set, classifier capabilities are not checked before classifier is built (use with caution).
AUse attribute weights.
CThe scale optimization option: global scale (1), one scale per unit (2), scale per unit and attribute (3) (default is 2).default: 2
EThe number of threads to use, which should be >= size of thread pool. (default 1)default: 1
GUse conjugate gradient descent (recommended for many attributes).
LTolerance parameter for delta values (default is 1.0e-6).default: 1.0E-6
NNumber of Gaussian basis functions (default is 2).default: 2
OUse normalized basis functions.
PThe size of the thread pool, for example, the number of cores in the CPU. (default 1)default: 1
RRidge factor for quadratic penalty on output weights (default is 0.01).default: 0.01
SRandom number seed. (default 1)default: 1
output-debug-infoIf set, classifier is run in debug mode and may output additional info to the console


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