DEVELOPMENT...
Issue | #Downvotes for this reason | By |
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weka.SMO_RBFKernel(1) | J. Platt: Fast Training of Support Vector Machines using Sequential Minimal Optimization. In B. Schoelkopf and C. Burges and A. Smola, editors, Advances in Kernel Methods - Support Vector Learning, 1998. S.S. Keerthi, S.K. Shevade, C. Bhattacharyya, K.R.K. Murthy (2001). Improvements to Platt's SMO Algorithm for SVM Classifier Design. Neural Computation. 13(3):637-649. Trevor Hastie, Robert Tibshirani: Classification by Pairwise Coupling. In: Advances in Neural Information Processing Systems, 1998. |
weka.RBFKernel(1)_C | 250007 |
weka.RBFKernel(1)_G | 10.0 |
weka.SMO_RBFKernel(1)_C | 0.01 |
weka.SMO_RBFKernel(1)_K | weka.classifiers.functions.supportVector.RBFKernel |
weka.SMO_RBFKernel(1)_L | 0.001 |
weka.SMO_RBFKernel(1)_N | 0 |
weka.SMO_RBFKernel(1)_P | 1.0E-12 |
weka.SMO_RBFKernel(1)_V | -1 |
weka.SMO_RBFKernel(1)_W | 1 |
0.497 Per class |
0.2541 Per class |
-0.5249 |
0.1986 |
0.1828 |
336 Per class |
0.1811 Per class |
0.4256 |
2.2353 |
0.4256 Per class |
1.0867 |
0.3016 |
0.3098 |
1.027 |