Issue | #Downvotes for this reason | By |
---|
weka.SMO_PolyKernel(6) | 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(4)_C | 250007 |
weka.PolyKernel(4)_E | 1.0 |
weka.SMO_PolyKernel(6)_C | 1.0 |
weka.SMO_PolyKernel(6)_K | weka.classifiers.functions.supportVector.PolyKernel |
weka.SMO_PolyKernel(6)_L | 0.001 |
weka.SMO_PolyKernel(6)_N | 0 |
weka.SMO_PolyKernel(6)_P | 1.0E-12 |
weka.SMO_PolyKernel(6)_V | -1 |
weka.SMO_PolyKernel(6)_W | 1 |
0.99 ± 0.0046 Per class |
0.2234 |
4789955360.5164 |
0.9666 ± 0.0118 Per class |
0.9628 ± 0.0132 |
0.2965 ± 0.002 |
0.1604 ± 0.0002 |
0.18 |
20000 Per class |
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic] |
0.967 ± 0.0111 Per class |
0.9666 ± 0.0118 |
3.3219 |
0.9666 ± 0.0118 Per class |
0.891 ± 0.0009 |
0.3 |
0.2725 ± 0.0003 |
0.9084 ± 0.001 |
1178.1431[677.3749932816479986.6640759094493539.0269922098045975.96430624805832711.684954737561] |