Run
84345

Run 84345

Task 1775 (Supervised Classification) balance-scale Uploaded 02-12-2014 by Joaquin Vanschoren
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Flow

weka.Bagging_SMO_PolyKernel(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_SMO_PolyKernel(2)_I80
weka.Bagging_SMO_PolyKernel(2)_P100
weka.Bagging_SMO_PolyKernel(2)_S1
weka.Bagging_SMO_PolyKernel(2)_Wweka.classifiers.functions.SMO
weka.Bagging_SMO_PolyKernel(2)_num-slots1
weka.SMO_PolyKernel(7)_C1.0
weka.SMO_PolyKernel(7)_L0.001
weka.SMO_PolyKernel(7)_N0
weka.SMO_PolyKernel(7)_P1.0E-12
weka.SMO_PolyKernel(7)_V-1
weka.SMO_PolyKernel(7)_W1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.9121
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Build CPU time
0.9378
Cross-validation details (5 times 2-fold Crossvalidation)
Build memory
977177564.2061
Cross-validation details (5 times 2-fold Crossvalidation)
F measure
0.8389
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Kappa
0.7674
Cross-validation details (5 times 2-fold Crossvalidation)
KB relative information score
1051.7063
Cross-validation details (5 times 2-fold Crossvalidation)
Mean absolute error
0.2673
Cross-validation details (5 times 2-fold Crossvalidation)
Mean prior absolute error
0.3798
Cross-validation details (5 times 2-fold Crossvalidation)
Number of instances
3125
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.806
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Predictive accuracy
0.8746
Cross-validation details (5 times 2-fold Crossvalidation)
Prior entropy
1.3212
Cross-validation details (5 times 2-fold Crossvalidation)
Recall
0.8746
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Relative absolute error
0.7038
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean prior squared error
0.4356
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean squared error
0.3305
Cross-validation details (5 times 2-fold Crossvalidation)
Root relative squared error
0.7588
Cross-validation details (5 times 2-fold Crossvalidation)
SciMark benchmark
921.6213