Run
25217

Run 25217

Task 65 (Learning Curve) arrhythmia 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
0.7942 ± 0.0435
Per class
Build CPU time
0.3185
Build memory
4187761800.2286
F measure
0.664
Per class
Kappa
0.5081 ± 0.0886
KB relative information score
-0.0044 ± 0.0204
Mean absolute error
0.1098 ± 0.0002
Mean prior absolute error
0.0855 ± 0.0007
Number of instances
4520
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
Precision
0.673
Per class
Predictive accuracy
0.7066 ± 0.0466
Prior entropy
2.4124 ± 0.056
Recall
0.7066 ± 0.0466
Per class
Relative absolute error
1.2834 ± 0.0112
Root mean prior squared error
0.2055 ± 0.0018
Root mean squared error
0.23 ± 0.0004
Root relative squared error
1.1193 ± 0.0099
SciMark benchmark
1160.5865[685.6292065501158987.9287949060968534.7319480008277940.9332331073892653.7092969852715]