OpenML
2820

Run 2820

Task 72 (Learning Curve) breast-cancer Uploaded 28-04-2014 by Jan van Rijn
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Flow

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)_C250007
weka.PolyKernel(1)_E1.0
weka.SMO_PolyKernel(1)_C1.0
weka.SMO_PolyKernel(1)_Kweka.classifiers.functions.supportVector.PolyKernel
weka.SMO_PolyKernel(1)_L0.001
weka.SMO_PolyKernel(1)_N0
weka.SMO_PolyKernel(1)_P1.0E-12
weka.SMO_PolyKernel(1)_V-1
weka.SMO_PolyKernel(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

0.5879 ± 0.0746
Per class
0.6767 ± 0.0691
Per class
0.1961 ± 0.163
0.2265 ± 0.1641
0.301 ± 0.0658
0.4183 ± 0.0065
2860
Per class
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
0.6714 ± 0.0848
Per class
0.699 ± 0.0658
0.8779 ± 0.0199
0.699 ± 0.0658
Per class
0.7197 ± 0.1539
0.457 ± 0.0071
0.5487 ± 0.0604
1.2005 ± 0.1278
849.5406