Run
14759

Run 14759

Task 29 (Supervised Classification) credit-approval Uploaded 23-05-2014 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)_E3.0
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
0.8151
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8162
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6284
Cross-validation details (10-fold Crossvalidation)
KB relative information score
431.4878
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1841
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.494
Cross-validation details (10-fold Crossvalidation)
Number of instances
690
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
0.8167
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8159
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10-fold Crossvalidation)
Recall
0.8159
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3726
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.429
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8633
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
890.474[561.57136831653141007.0316472325012472.38971539770705788.8775311802431622.49953519237]