Run
5737

Run 5737

Task 2102 (Learning Curve) eucalyptus Uploaded 06-05-2014 by Jan van Rijn
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Flow

weka.SMO_RBFKernel(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.RBFKernel(1)_C250007
weka.RBFKernel(1)_G0.01
weka.SMO_RBFKernel(1)_C1.0
weka.SMO_RBFKernel(1)_Kweka.classifiers.functions.supportVector.RBFKernel
weka.SMO_RBFKernel(1)_L0.001
weka.SMO_RBFKernel(1)_N0
weka.SMO_RBFKernel(1)_P1.0E-12
weka.SMO_RBFKernel(1)_V-1
weka.SMO_RBFKernel(1)_W1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

0.7284 ± 0.0323
Per class
0.3952
Per class
0.2868 ± 0.06
0.2034 ± 0.0131
0.2825 ± 0.0032
0.3132 ± 0.0002
736
Per class
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
0.3996
Per class
0.4755 ± 0.0429
2.2621 ± 0.0043
0.4755 ± 0.0429
Per class
0.9019 ± 0.0104
0.3957 ± 0.0003
0.3769 ± 0.0043
0.9525 ± 0.0113
867.9716