| 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 |
0.9582 ± 0.0045 Per class |
0.9581 ± 0.0045 Per class |
0.916 ± 0.009 |
0.9159 ± 0.009 |
0.0419 ± 0.0045 |
0.499 ± 0.0001 |
3196 Per class |
[ Sun Microsystems Inc., 1.6.0_30, amd64, Linux, 2.6.32-358.6.2.el6.x86_64 ] |
0.9581 ± 0.0042 Per class |
0.9581 ± 0.0045 |
0.9986 ± 0.0002 |
0.9581 ± 0.0045 Per class |
0.084 ± 0.009 |
0.4995 ± 0.0001 |
0.2048 ± 0.011 |
0.4099 ± 0.0221 |
1135.2652 |