DEVELOPMENT...
Issue | #Downvotes for this reason | By |
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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 |
0.8718 ± 0.0297 Per class |
0.7567 ± 0.0677 |
0.3331 ± 0.0243 |
0.2688 ± 0.0086 |
0.3798 ± 0.0012 |
625 Per class |
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ] |
0.8688 ± 0.0366 |
1.3181 ± 0.0124 |
0.8688 ± 0.0366 Per class |
0.7078 ± 0.0216 |
0.4356 ± 0.0014 |
0.3473 ± 0.0123 |
0.7974 ± 0.0273 |
868.6739 |