Run
25227

Run 25227

Task 75 (Learning Curve) mfeat-karhunen 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

0.99 ± 0.0046
Per class
0.2234
4789955360.5164
0.9666 ± 0.0118
Per class
0.9628 ± 0.0132
0.2965 ± 0.002
0.1604 ± 0.0002
0.18
20000
Per class
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
0.967 ± 0.0111
Per class
0.9666 ± 0.0118
3.3219
0.9666 ± 0.0118
Per class
0.891 ± 0.0009
0.3
0.2725 ± 0.0003
0.9084 ± 0.001
1178.1431[677.3749932816479986.6640759094493539.0269922098045975.96430624805832711.684954737561]