Run
22488

Run 22488

Task 12 (Supervised Classification) mfeat-factors Uploaded 22-06-2014 by Joaquin Vanschoren
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Flow

weka.Bagging_SMO_PolyKernel(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_SMO_PolyKernel(1)_I20
weka.Bagging_SMO_PolyKernel(1)_P100
weka.Bagging_SMO_PolyKernel(1)_S1
weka.Bagging_SMO_PolyKernel(1)_Wweka.classifiers.functions.SMO
weka.Bagging_SMO_PolyKernel(1)_num-slots1
weka.SMO_PolyKernel(5)_C1.0
weka.SMO_PolyKernel(5)_L0.001
weka.SMO_PolyKernel(5)_N0
weka.SMO_PolyKernel(5)_P1.0E-12
weka.SMO_PolyKernel(5)_V-1
weka.SMO_PolyKernel(5)_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
0.9958
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9765
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9739
Cross-validation details (10-fold Crossvalidation)
KB relative information score
595.5046
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1603
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
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
0.9767
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9765
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.9765
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8904
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2718
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9061
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
934.9476[546.0991349014388983.1402910694766479.34907755102535906.13207810932491760.017229859821]