Run
195311

Run 195311

Task 239 (Supervised Classification) autos Uploaded 26-02-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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

0.8615
Per class
Cross-validation details (33% Holdout set)
0.5678
Per class
Cross-validation details (33% Holdout set)
0.479
Cross-validation details (33% Holdout set)
15.5252
Cross-validation details (33% Holdout set)
0.212
Cross-validation details (33% Holdout set)
0.2263
Cross-validation details (33% Holdout set)
67
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]
0.5776
Per class
Cross-validation details (33% Holdout set)
0.5821
Cross-validation details (33% Holdout set)
2.3268
Cross-validation details (33% Holdout set)
0.5821
Per class
Cross-validation details (33% Holdout set)
0.9368
Cross-validation details (33% Holdout set)
0.3398
Cross-validation details (33% Holdout set)
0.3138
Cross-validation details (33% Holdout set)
0.9236
Cross-validation details (33% Holdout set)
939.449
100
Cross-validation details (33% Holdout set)
100
Cross-validation details (33% Holdout set)