Run
6083

Run 6083

Task 1821 (Supervised Classification) ionosphere Uploaded 14-05-2014 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)_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

Area under ROC curve
0.8336
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
F measure
0.8683
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Kappa
0.7082
Cross-validation details (5 times 2-fold Crossvalidation)
KB relative information score
1254.8349
Cross-validation details (5 times 2-fold Crossvalidation)
Mean absolute error
0.1265
Cross-validation details (5 times 2-fold Crossvalidation)
Mean prior absolute error
0.4604
Cross-validation details (5 times 2-fold Crossvalidation)
Number of instances
1755
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_04, x86_64, Mac OS X, 10.9.2]
Precision
0.882
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Predictive accuracy
0.8735
Cross-validation details (5 times 2-fold Crossvalidation)
Prior entropy
0.9425
Cross-validation details (5 times 2-fold Crossvalidation)
Recall
0.8735
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Relative absolute error
0.2747
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean prior squared error
0.4797
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean squared error
0.3557
Cross-validation details (5 times 2-fold Crossvalidation)
Root relative squared error
0.7414
Cross-validation details (5 times 2-fold Crossvalidation)
SciMark benchmark
1058.0736[652.29641878308271120.322738081504513.50641094843011080.56054089762921923.6820567161885]