DEVELOPMENT... OpenML
Run
6084

Run 6084

Task 257 (Supervised Classification) colic Uploaded 14-05-2014 by Felicia West
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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
F measure
0.7541
Per class
Kappa
0.5157
KB relative information score
67.3628
Mean absolute error
0.2314
Mean prior absolute error
0.4882
Number of instances
121
Per class
OS information
[Oracle Corporation, 1.7.0_04, x86_64, Mac OS X, 10.9.2]
Precision
0.8131
Per class
Predictive accuracy
0.7686
Prior entropy
0.9509
Recall
0.7686
Per class
Relative absolute error
0.474
Root mean prior squared error
0.505
Root mean squared error
0.481
Root relative squared error
0.9525
SciMark benchmark
1195.9737[738.14672109510711181.0940859587652613.39151455531441251.28399245846192195.9522953212754]