Run
25249

Run 25249

Task 97 (Learning Curve) ecoli 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.

19 Evaluation measures

Area under ROC curve
0.9422 ± 0.0236
Per class
Build CPU time
0.0659
Build memory
5489816149.6267
Kappa
0.7699 ± 0.0698
KB relative information score
0.1288 ± 0.0226
Mean absolute error
0.1898 ± 0.0012
Mean prior absolute error
0.1828 ± 0.0012
Number of instances
3360
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
Predictive accuracy
0.836 ± 0.0496
Prior entropy
2.1906 ± 0.0868
Recall
0.836 ± 0.0496
Per class
Relative absolute error
1.0383 ± 0.0069
Root mean prior squared error
0.3016 ± 0.0021
Root mean squared error
0.2951 ± 0.002
Root relative squared error
0.9784 ± 0.0067
SciMark benchmark
1166.7252[667.0136266305401967.8327819778099516.7189180534734973.06607068748012708.9946654237992]