Run
25558

Run 25558

Task 80 (Learning Curve) car Uploaded 19-08-2014 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
0.9523 ± 0.0187
Per class
Build CPU time
0.0762
Build memory
5509102253.3309
F measure
0.9362 ± 0.0186
Per class
Kappa
0.8613 ± 0.0404
KB relative information score
-0.0037 ± 0.0114
Mean absolute error
0.256 ± 0.0016
Mean prior absolute error
0.229 ± 0.0006
Number of instances
17280
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
Precision
0.9371 ± 0.0182
Per class
Predictive accuracy
0.9357 ± 0.0186
Prior entropy
1.2058 ± 0.0089
Recall
0.9357 ± 0.0186
Per class
Relative absolute error
1.1179 ± 0.0078
Root mean prior squared error
0.3381 ± 0.001
Root mean squared error
0.3204 ± 0.0026
Root relative squared error
0.9475 ± 0.0082
SciMark benchmark
1114.9994[641.7367654946901976.9100332612877529.7197090623405941.94754120966212484.6830969395355]