Run
25224

Run 25224

Task 72 (Learning Curve) breast-cancer 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
0.5879 ± 0.0746
Per class
Build CPU time
0.0149
Build memory
4833213228.68
F measure
0.6767 ± 0.0691
Per class
Kappa
0.1961 ± 0.163
KB relative information score
0.2265 ± 0.1641
Mean absolute error
0.301 ± 0.0658
Mean prior absolute error
0.4183 ± 0.0065
Number of instances
2860
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
Precision
0.6714 ± 0.0848
Per class
Predictive accuracy
0.699 ± 0.0658
Prior entropy
0.8779 ± 0.0199
Recall
0.699 ± 0.0658
Per class
Relative absolute error
0.7197 ± 0.1539
Root mean prior squared error
0.457 ± 0.0071
Root mean squared error
0.5487 ± 0.0604
Root relative squared error
1.2005 ± 0.1278
SciMark benchmark
1127.3557[689.9686409116644985.1508369759225514.860620003827913.71210817040292533.0860804274957]