Visibility: public Uploaded 03-06-2014 by Joaquin Vanschoren Weka_3.7.10 19 runs
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  • Verified_Supervised_Classification
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Weka implementation of RBFClassifier


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
DIf set, classifier is run in debug mode and may output additional info to the console
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


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