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 |
0.7071 Per class |
0.7151 Per class |
0.4315 |
311.408 |
0.2696 |
0.494 |
690 Per class |
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] |
0.7549 Per class |
0.7304 |
0.9913 |
0.7304 Per class |
0.5457 |
0.497 |
0.5192 |
1.0448 |
949.5831[567.23276363937031015.7906865781697483.8854846559526912.43998791392861768.5664600912808] |