Issue | #Downvotes for this reason | By |
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weka.SMO_PolyKernel(11) | 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(9)_E | 1.0 |
weka.PolyKernel(9)_C | 250007 |
weka.SMO_PolyKernel(11)_C | 1.0 |
weka.SMO_PolyKernel(11)_N | 0 |
weka.SMO_PolyKernel(11)_L | 0.001 |
weka.SMO_PolyKernel(11)_P | 1.0E-12 |
weka.SMO_PolyKernel(11)_V | -1 |
weka.SMO_PolyKernel(11)_W | 1 |
weka.SMO_PolyKernel(11)_K | weka.classifiers.functions.supportVector.PolyKernel |
0.9768 Per class Cross-validation details (10-fold Crossvalidation)
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0.96 Per class Cross-validation details (10-fold Crossvalidation)
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0.94 Cross-validation details (10-fold Crossvalidation)
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90.8539 Cross-validation details (10-fold Crossvalidation)
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0.2311 Cross-validation details (10-fold Crossvalidation)
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0.4444 Cross-validation details (10-fold Crossvalidation)
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150 Per class Cross-validation details (10-fold Crossvalidation) |
[Oracle Corporation, 1.7.0_79, x86_64, Mac OS X, 10.10.5] |
0.9605 Per class Cross-validation details (10-fold Crossvalidation)
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0.96 Cross-validation details (10-fold Crossvalidation)
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1.585 Cross-validation details (10-fold Crossvalidation)
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0.96 Per class Cross-validation details (10-fold Crossvalidation)
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0.52 Cross-validation details (10-fold Crossvalidation)
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0.4714 Cross-validation details (10-fold Crossvalidation)
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0.288 Cross-validation details (10-fold Crossvalidation)
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0.611 Cross-validation details (10-fold Crossvalidation)
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1600.256 |
15.99 Cross-validation details (10-fold Crossvalidation)
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1.696 Cross-validation details (10-fold Crossvalidation)
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14.294 Cross-validation details (10-fold Crossvalidation)
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