OpenML
8869

Run 8869

Task 53 (Supervised Classification) vehicle Uploaded 22-05-2014 by Joaquin Vanschoren
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Flow

weka.SMO_RBFKernel(1)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.RBFKernel(1)_C250007
weka.RBFKernel(1)_G0.1
weka.SMO_RBFKernel(1)_C1.0
weka.SMO_RBFKernel(1)_Kweka.classifiers.functions.supportVector.RBFKernel
weka.SMO_RBFKernel(1)_L0.001
weka.SMO_RBFKernel(1)_N0
weka.SMO_RBFKernel(1)_P1.0E-12
weka.SMO_RBFKernel(1)_V-1
weka.SMO_RBFKernel(1)_W1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

0.8236
Per class
Cross-validation details (10-fold Crossvalidation)
0.6509
Per class
Cross-validation details (10-fold Crossvalidation)
0.5625
Cross-validation details (10-fold Crossvalidation)
305.3061
Cross-validation details (10-fold Crossvalidation)
0.2921
Cross-validation details (10-fold Crossvalidation)
0.3748
Cross-validation details (10-fold Crossvalidation)
846
Per class
Cross-validation details (10-fold Crossvalidation)
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
0.6647
Per class
Cross-validation details (10-fold Crossvalidation)
0.6714
Cross-validation details (10-fold Crossvalidation)
1.9991
Cross-validation details (10-fold Crossvalidation)
0.6714
Per class
Cross-validation details (10-fold Crossvalidation)
0.7792
Cross-validation details (10-fold Crossvalidation)
0.4329
Cross-validation details (10-fold Crossvalidation)
0.3728
Cross-validation details (10-fold Crossvalidation)
0.8612
Cross-validation details (10-fold Crossvalidation)
945.8489[560.12864292244511016.0585376856843483.88543266528814910.85475360997441758.3171307218695]