OpenML
11471

Run 11471

Task 58 (Supervised Classification) waveform-5000 Uploaded 22-05-2014 by Joaquin Vanschoren
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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)_E2.0
weka.SMO_PolyKernel(1)_C100.0
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

Area under ROC curve
0.9063
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8132
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7198
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2566.6687
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2638
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4444
Cross-validation details (10-fold Crossvalidation)
Number of instances
5000
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8132
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8132
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.5849
Cross-validation details (10-fold Crossvalidation)
Recall
0.8132
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5936
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.34
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7212
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
945.3073[556.90953288490741015.7907504114269482.58056402979616911.80521739130441759.4502550697425]