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 |
0.9598 ± 0.0027 Per class |
0.8646 ± 0.0097 Per class |
0.837 ± 0.0111 |
0.3405 ± 0.0011 |
0.2258 ± 0.0002 |
0.2701 ± 0 |
6430 Per class |
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ] |
0.8628 ± 0.0097 Per class |
0.8684 ± 0.0089 |
2.4834 ± 0.0009 |
0.8684 ± 0.0089 Per class |
0.836 ± 0.0008 |
0.3675 ± 0 |
0.3155 ± 0.0004 |
0.8585 ± 0.0009 |
838.0153 |