Run
6084

Run 6084

Task 257 (Supervised Classification) colic Uploaded 14-05-2014 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)_G0.01
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

Area under ROC curve
0.7485
Per class
Cross-validation details (33% Holdout set)
F measure
0.7541
Per class
Cross-validation details (33% Holdout set)
Kappa
0.5157
Cross-validation details (33% Holdout set)
KB relative information score
67.3628
Cross-validation details (33% Holdout set)
Mean absolute error
0.2314
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4882
Cross-validation details (33% Holdout set)
Number of instances
121
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.7.0_04, x86_64, Mac OS X, 10.9.2]
Precision
0.8131
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.7686
Cross-validation details (33% Holdout set)
Prior entropy
0.9509
Cross-validation details (33% Holdout set)
Recall
0.7686
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.474
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.505
Cross-validation details (33% Holdout set)
Root mean squared error
0.481
Cross-validation details (33% Holdout set)
Root relative squared error
0.9525
Cross-validation details (33% Holdout set)
SciMark benchmark
1195.9737[738.14672109510711181.0940859587652613.39151455531441251.28399245846192195.9522953212754]