| 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 |
0.5799 ± 0.0629 Per class |
0.6707 ± 0.0493 Per class |
0.1799 ± 0.1241 |
0.2185 ± 0.0963 |
0.3042 ± 0.0394 |
0.4183 ± 0.0068 |
286 Per class |
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ] |
0.6655 ± 0.0542 Per class |
0.6958 ± 0.0394 |
0.8779 ± 0.0209 |
0.6958 ± 0.0394 Per class |
0.7272 ± 0.0907 |
0.457 ± 0.0075 |
0.5515 ± 0.0373 |
1.2068 ± 0.0769 |
868.727 |