Run
5919

Run 5919

Task 74 (Learning Curve) breast-w Uploaded 07-05-2014 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

0.9527 ± 0.0262
Per class
0.9598 ± 0.022
Per class
0.9108 ± 0.0487
0.9075 ± 0.0502
0.0401 ± 0.0218
0.4519 ± 0.0014
6990
Per class
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
0.9599 ± 0.0215
Per class
0.9599 ± 0.0218
0.9293 ± 0.0041
0.9599 ± 0.0218
Per class
0.0886 ± 0.0482
0.4753 ± 0.0014
0.2001 ± 0.0605
0.4211 ± 0.1271
875.1567