| 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 |
0.9417 ± 0.0075 Per class |
0.7001 ± 0.0289 Per class |
0.6723 ± 0.0294 |
0.2772 ± 0.0031 |
0.162 ± 0.0003 |
0.18 |
20000 Per class |
[ Sun Microsystems Inc., 1.6.0_30, amd64, Linux, 2.6.32-431.1.2.el6.x86_64 ] |
0.7114 ± 0.0305 Per class |
0.7051 ± 0.0265 |
3.3219 |
0.7051 ± 0.0265 Per class |
0.8999 ± 0.0014 |
0.3 |
0.2758 ± 0.0005 |
0.9192 ± 0.0015 |
823.979 |