Run
9458

Run 9458

Task 27 (Supervised Classification) colic Uploaded 22-05-2014 by Joaquin Vanschoren
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Flow

weka.SMO_PolyKernel(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.PolyKernel(1)_C250007
weka.PolyKernel(1)_E3.0
weka.SMO_PolyKernel(1)_C1.0
weka.SMO_PolyKernel(1)_Kweka.classifiers.functions.supportVector.PolyKernel
weka.SMO_PolyKernel(1)_L0.001
weka.SMO_PolyKernel(1)_N0
weka.SMO_PolyKernel(1)_P1.0E-12
weka.SMO_PolyKernel(1)_V-1
weka.SMO_PolyKernel(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
0.7572
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7743
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5152
Cross-validation details (10-fold Crossvalidation)
KB relative information score
184.4394
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2255
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4662
Cross-validation details (10-fold Crossvalidation)
Number of instances
368
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7741
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7745
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9509
Cross-validation details (10-fold Crossvalidation)
Recall
0.7745
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4838
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4827
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4749
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9839
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
937.9866[559.58953556755011015.2555353338006443.69495460692616913.07556704216551758.3172656914378]