Issue | #Downvotes for this reason | By |
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weka.SMO_RBFKernel(2) | 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.RBFKernel(2)_C | 250007 |
weka.RBFKernel(2)_G | 0.01 |
weka.SMO_RBFKernel(2)_C | 1.0 |
weka.SMO_RBFKernel(2)_K | weka.classifiers.functions.supportVector.RBFKernel |
weka.SMO_RBFKernel(2)_L | 0.001 |
weka.SMO_RBFKernel(2)_N | 0 |
weka.SMO_RBFKernel(2)_P | 1.0E-12 |
weka.SMO_RBFKernel(2)_V | -1 |
weka.SMO_RBFKernel(2)_W | 1 |
0.9383 Per class Cross-validation details (33% Holdout set)
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12.855 Cross-validation details (33% Holdout set)
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640429888 Cross-validation details (33% Holdout set)
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0.8144 Per class Cross-validation details (33% Holdout set)
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0.7917 Cross-validation details (33% Holdout set)
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692.2095 Cross-validation details (33% Holdout set)
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0.2277 Cross-validation details (33% Holdout set)
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0.27 Cross-validation details (33% Holdout set)
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2121 Per class Cross-validation details (33% Holdout set) |
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] |
0.8185 Per class Cross-validation details (33% Holdout set)
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0.834 Cross-validation details (33% Holdout set)
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2.4836 Cross-validation details (33% Holdout set)
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0.834 Per class Cross-validation details (33% Holdout set)
|
0.8433 Cross-validation details (33% Holdout set)
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0.3674 Cross-validation details (33% Holdout set)
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0.3189 Cross-validation details (33% Holdout set)
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0.8681 Cross-validation details (33% Holdout set)
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945.1738 |