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 | 100.0 |
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 |
0.5 Per class |
0.5768 Per class |
-434.0606 |
0.2846 |
0.229 |
1728 Per class |
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] |
0.4903 Per class |
0.7002 |
1.2099 |
0.7002 Per class |
1.2428 |
0.3381 |
0.363 |
1.0737 |
897.1082[562.29550002336991014.4538012229739484.1035797902428899.60191115807121525.0860644000013] |