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SVM Name SVM SVM Type SVM Cost ( C ) : 1 . 0 0 Regression loss epsilon ( ) : 0 . 1 0

SVM
Name
SVM
SVM Type
SVM
Cost (C):
1.00
Regression loss epsilon ():
0.10
v-SVM
Regression cost (C):
Complexity bound (v):
0.50
Kernel
Linear
Kernel: exp(-g|x-y|2)
Polynomial g: auto
RBF
Sigmoid
Optimization Parameters
Numerical tolerance:
Iteration limit:
q,
q,
?
5143
1-
|200
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