Run
25247

Run 25247

Task 95 (Learning Curve) segment 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
0.9775 ± 0.0059
Per class
Build CPU time
0.0821
Build memory
5399400694.42
F measure
0.9282 ± 0.0153
Per class
Kappa
0.9167 ± 0.0177
KB relative information score
0.3466 ± 0.0027
Mean absolute error
0.2054 ± 0.0004
Mean prior absolute error
0.2449
Number of instances
23100
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
Precision
0.9287 ± 0.0151
Per class
Predictive accuracy
0.9286 ± 0.0152
Prior entropy
2.8074
Recall
0.9286 ± 0.0152
Per class
Relative absolute error
0.8387 ± 0.0014
Root mean prior squared error
0.3499
Root mean squared error
0.3028 ± 0.0006
Root relative squared error
0.8654 ± 0.0018
SciMark benchmark
1148.2678[644.5826246179386991.4870514998788537.1394622654005934.89304305445162633.236748754002]