| 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 |
0.964 ± 0.0217 Per class |
0.9661 ± 0.0199 Per class |
0.9252 ± 0.0437 |
0.9217 ± 0.0461 |
0.0339 ± 0.02 |
0.4519 ± 0.0014 |
6990 Per class |
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ] |
0.9662 ± 0.0193 Per class |
0.9661 ± 0.02 |
0.9293 ± 0.0041 |
0.9661 ± 0.02 Per class |
0.075 ± 0.0442 |
0.4753 ± 0.0014 |
0.1841 ± 0.0659 |
0.3874 ± 0.1385 |
840.42 |