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weka.LibSVM

weka.LibSVM

Visibility: public Uploaded 05-03-2015 by Joaquin Vanschoren Weka_3.7.12 1 runs
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  • Verified_Supervised_Classification weka weka_3.7.12
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Yasser EL-Manzalawy (2005). WLSVM. URL http://www.cs.iastate.edu/~yasser/wlsvm/. Chih-Chung Chang, Chih-Jen Lin (2001). LIBSVM - A Library for Support Vector Machines. URL http://www.csie.ntu.edu.tw/~cjlin/libsvm/.

Parameters

-do-not-check-capabilitiesIf set, classifier capabilities are not checked before classifier is built (use with caution).
BGenerate probability estimates for classification
CSet the parameter C of C-SVC, epsilon-SVR, and nu-SVR (default: 1)default: 1.0
DSet degree in kernel function (default: 3)default: 3
ESet tolerance of termination criterion (default: 0.001)default: 0.001
GSet gamma in kernel function (default: 1/k)default: 0.0
HTurns the shrinking heuristics off (default: on)
JTurn off nominal to binary conversion. WARNING: use only if your data is all numeric!
KSet type of kernel function (default: 2) 0 = linear: u'*v 1 = polynomial: (gamma*u'*v + coef0)^degree 2 = radial basis function: exp(-gamma*|u-v|^2) 3 = sigmoid: tanh(gamma*u'*v + coef0)default: 2
MSet cache memory size in MB (default: 40)default: 40.0
NSet the parameter nu of nu-SVC, one-class SVM, and nu-SVR (default: 0.5)default: 0.5
PSet the epsilon in loss function of epsilon-SVR (default: 0.1)default: 0.1
RSet coef0 in kernel function (default: 0)default: 0.0
SSet type of SVM (default: 0) 0 = C-SVC 1 = nu-SVC 2 = one-class SVM 3 = epsilon-SVR 4 = nu-SVRdefault: 0
VTurn off missing value replacement. WARNING: use only if your data has no missing values.
WSet the parameters C of class i to weight[i]*C, for C-SVC. E.g., for a 3-class problem, you could use "1 1 1" for equally weighted classes. (default: 1 for all classes)
ZTurns on normalization of input data (default: off)
modelSpecifies the filename to save the libsvm-internal model to. Gets ignored if a directory is provided.default: /home/azureuser
output-debug-infoIf set, classifier is run in debug mode and may output additional info to the console
seedRandom seed (default = 1)default: 1

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