Run
25241

Run 25241

Task 89 (Learning Curve) page-blocks Uploaded 17-08-2014 by Jan van Rijn
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Flow

weka.SMO_PolyKernel(6)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(4)_C250007
weka.PolyKernel(4)_E1.0
weka.SMO_PolyKernel(6)_C1.0
weka.SMO_PolyKernel(6)_Kweka.classifiers.functions.supportVector.PolyKernel
weka.SMO_PolyKernel(6)_L0.001
weka.SMO_PolyKernel(6)_N0
weka.SMO_PolyKernel(6)_P1.0E-12
weka.SMO_PolyKernel(6)_V-1
weka.SMO_PolyKernel(6)_W1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.7343 ± 0.0303
Per class
Build CPU time
0.0485
Build memory
4500040267.2343
F measure
0.9077 ± 0.01
Per class
Kappa
0.4575 ± 0.0697
KB relative information score
-3.1096 ± 0.0355
Mean absolute error
0.2438 ± 0.0005
Mean prior absolute error
0.0762 ± 0.0003
Number of instances
54730
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
Precision
0.9287 ± 0.008
Per class
Predictive accuracy
0.9284 ± 0.0064
Prior entropy
0.6355 ± 0.0053
Recall
0.9284 ± 0.0064
Per class
Relative absolute error
3.2009 ± 0.0121
Root mean prior squared error
0.1948 ± 0.0007
Root mean squared error
0.322 ± 0.0007
Root relative squared error
1.6526 ± 0.0065
SciMark benchmark
1172.0061[694.3632889039465988.6890749395138534.0670404286975964.47381626104072678.43709729107]