Run
21722

Run 21722

Task 2071 (Supervised Classification) adult Uploaded 19-06-2014 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)_C0.1
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
0.7644
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8488
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5706
Cross-validation details (10-fold Crossvalidation)
KB relative information score
26927.9176
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1449
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3641
Cross-validation details (10-fold Crossvalidation)
Number of instances
48842
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
0.8485
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8551
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7939
Cross-validation details (10-fold Crossvalidation)
Recall
0.8551
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3981
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4266
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3807
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8923
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
932.296[560.4886395932788996.3572868649401441.50569840720266907.07263143401181756.0556588021248]