| 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 |
0.8823 ± 0.0517 Per class |
0.704 ± 0.0902 Per class |
0.6231 ± 0.1251 |
0.1854 ± 0.0315 |
0.2098 ± 0.0024 |
0.2209 ± 0.0014 |
2050 Per class |
[ Oracle Corporation, 1.7.0_51, amd64, Linux, 3.7.10-1.28-desktop ] |
0.7037 ± 0.0882 Per class |
0.7093 ± 0.0966 |
2.2802 ± 0.0732 |
0.7093 ± 0.0966 Per class |
0.9499 ± 0.0124 |
0.3318 ± 0.0021 |
0.3104 ± 0.0038 |
0.9356 ± 0.0129 |
1944.402 |