Issue | #Downvotes for this reason | By |
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weka.SMO_PolyKernel(6) | 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.PolyKernel(4)_C | 250007 |
weka.PolyKernel(4)_E | 1.0 |
weka.SMO_PolyKernel(6)_C | 1.0 |
weka.SMO_PolyKernel(6)_K | weka.classifiers.functions.supportVector.PolyKernel |
weka.SMO_PolyKernel(6)_L | 0.001 |
weka.SMO_PolyKernel(6)_N | 0 |
weka.SMO_PolyKernel(6)_P | 1.0E-12 |
weka.SMO_PolyKernel(6)_V | -1 |
weka.SMO_PolyKernel(6)_W | 1 |
0.9637 ± 0.0038 Per class |
2.5115 |
4719072586.4894 |
0.8989 ± 0.0105 |
0.2151 ± 0.0019 |
0.2428 ± 0.0003 |
0.273 ± 0.0001 |
129600 Per class |
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic] |
0.9311 ± 0.0072 |
1.7165 ± 0.0037 |
0.9311 ± 0.0072 Per class |
0.8891 ± 0.001 |
0.3695 ± 0.0001 |
0.3203 ± 0.0005 |
0.8671 ± 0.0014 |
1095.9485[634.2693236363637943.198739202682517.7154702134819982.91711497255232401.6418218213535] |