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 | 0.3 |
weka.SMO_RBFKernel(1)_C | 1.0 |
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 |
0.6619 Per class |
0.5082 Per class |
0.2344 |
-12.7117 |
0.1102 |
0.0855 |
452 Per class |
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] |
0.5175 Per class |
0.615 |
2.5222 |
0.615 Per class |
1.2887 |
0.2055 |
0.231 |
1.1242 |
949.4872[567.23271965926381014.9881711071126482.36378704342826913.71210817040291769.1393263693276] |