| 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 | 0.01 |
| 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 |
0.5009 Per class |
0.8497 Per class |
0.0033 |
-17410.73 |
0.2468 |
0.0762 |
5473 Per class |
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] |
0.8661 Per class |
0.8979 |
0.6391 |
0.8979 Per class |
3.2411 |
0.1949 |
0.3268 |
1.6774 |
945.5008[562.11430287262971015.7907504114269483.88543266528814910.22218605324211755.4913676401159] |