Run
195315

Run 195315

Task 242 (Supervised Classification) mfeat-factors Uploaded 26-02-2015 by Joaquin Vanschoren
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Flow

weka.SMO_PolyKernel(10)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(8)_E1.0
weka.PolyKernel(8)_C250007
weka.SMO_PolyKernel(10)_C1.0
weka.SMO_PolyKernel(10)_N0
weka.SMO_PolyKernel(10)_L0.001
weka.SMO_PolyKernel(10)_P1.0E-12
weka.SMO_PolyKernel(10)_V-1
weka.SMO_PolyKernel(10)_W1
weka.SMO_PolyKernel(10)_Kweka.classifiers.functions.supportVector.PolyKernel

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.

22 Evaluation measures

0.9967
Per class
Cross-validation details (33% Holdout set)
0.9788
Per class
Cross-validation details (33% Holdout set)
0.9764
Cross-validation details (33% Holdout set)
197.3004
Cross-validation details (33% Holdout set)
0.1602
Cross-validation details (33% Holdout set)
0.18
Cross-validation details (33% Holdout set)
660
Per class
Cross-validation details (33% Holdout set)
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
0.979
Per class
Cross-validation details (33% Holdout set)
0.9788
Cross-validation details (33% Holdout set)
3.3219
Cross-validation details (33% Holdout set)
0.9788
Per class
Cross-validation details (33% Holdout set)
0.8898
Cross-validation details (33% Holdout set)
0.3
Cross-validation details (33% Holdout set)
0.2722
Cross-validation details (33% Holdout set)
0.9072
Cross-validation details (33% Holdout set)
939.449
1160
Cross-validation details (33% Holdout set)
320
Cross-validation details (33% Holdout set)
840
Cross-validation details (33% Holdout set)