| 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 |
0.8574 ± 0.0356 Per class |
0.8505 ± 0.0371 Per class |
0.702 ± 0.0723 |
0.695 ± 0.0752 |
0.1499 ± 0.037 |
0.494 ± 0.0007 |
6900 Per class |
[ Oracle Corporation, 1.7.0_51, amd64, Linux, 3.7.10-1.28-desktop ] |
0.8622 ± 0.0336 Per class |
0.8501 ± 0.037 |
0.9912 ± 0.0021 |
0.8501 ± 0.037 Per class |
0.3034 ± 0.0748 |
0.497 ± 0.0007 |
0.3871 ± 0.0481 |
0.779 ± 0.0967 |
1964.7916 |