OpenML
11147

Run 11147

Task 49 (Supervised Classification) tic-tac-toe 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)_E2.0
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
0.997
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9979
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9954
Cross-validation details (10-fold Crossvalidation)
KB relative information score
953.0993
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0021
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.453
Cross-validation details (10-fold Crossvalidation)
Number of instances
958
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
0.9979
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9979
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9312
Cross-validation details (10-fold Crossvalidation)
Recall
0.9979
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0046
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0457
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.096
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
939.3189[564.29653665317711015.7907504114269441.1428994530376913.07556704216551762.2889234168845]