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 |
0.9379 ± 0.0244 Per class |
0.5348 |
4370122393.424 |
0.7788 ± 0.0843 |
0.083 ± 0.0341 |
0.0767 ± 0.0002 |
0.0724 ± 0.0004 |
2260 Per class |
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic] |
0.8115 ± 0.0729 |
3.4373 ± 0.1528 |
0.8115 ± 0.0729 Per class |
1.0597 ± 0.0058 |
0.1893 ± 0.0011 |
0.1934 ± 0.0007 |
1.0217 ± 0.0057 |
1169.8597[679.7508380250096982.388457924644522.8837567952336967.32101959395992696.954605497135] |