| Issue | #Downvotes for this reason | By |
|---|
| weka.SMO_PolyKernel(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.PolyKernel(1)_C | 250007 |
| weka.PolyKernel(1)_E | 1.0 |
| weka.SMO_PolyKernel(1)_C | 1.0 |
| weka.SMO_PolyKernel(1)_K | weka.classifiers.functions.supportVector.PolyKernel |
| weka.SMO_PolyKernel(1)_L | 0.001 |
| weka.SMO_PolyKernel(1)_N | 0 |
| weka.SMO_PolyKernel(1)_P | 1.0E-12 |
| weka.SMO_PolyKernel(1)_V | -1 |
| weka.SMO_PolyKernel(1)_W | 1 |
0.6366 ± 0.0263 Per class |
0.4859 ± 0.0374 Per class |
0.2034 ± 0.0579 |
0.2188 ± 0.0282 |
0.3774 ± 0.0113 |
0.4308 ± 0.0004 |
14730 Per class |
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ] |
0.4856 ± 0.0372 Per class |
0.4864 ± 0.0379 |
1.539 ± 0.0028 |
0.4864 ± 0.0379 Per class |
0.8761 ± 0.0263 |
0.4641 ± 0.0004 |
0.4755 ± 0.0119 |
1.0245 ± 0.0256 |
869.9832 |