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 |
0.7518 ± 0.0632 Per class |
0.3878 ± 0.1394 |
0.1309 ± 0.0293 |
0.2134 ± 0.0023 |
0.2116 ± 0.0025 |
2140 Per class |
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ] |
0.5813 ± 0.0948 |
2.1835 ± 0.0748 |
0.5813 ± 0.0948 Per class |
1.0086 ± 0.013 |
0.3244 ± 0.0039 |
0.3161 ± 0.0036 |
0.9743 ± 0.0129 |
879.407 |