Run
25562

Run 25562

Task 85 (Learning Curve) nursery 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.

19 Evaluation measures

0.9637 ± 0.0038
Per class
2.5115
4719072586.4894
0.8989 ± 0.0105
0.2151 ± 0.0019
0.2428 ± 0.0003
0.273 ± 0.0001
129600
Per class
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
0.9311 ± 0.0072
1.7165 ± 0.0037
0.9311 ± 0.0072
Per class
0.8891 ± 0.001
0.3695 ± 0.0001
0.3203 ± 0.0005
0.8671 ± 0.0014
1095.9485[634.2693236363637943.198739202682517.7154702134819982.91711497255232401.6418218213535]