Run
27219

Run 27219

Task 2354 (Supervised Classification) meta_ensembles.arff Uploaded 08-10-2014 by Joaquin Vanschoren
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Flow

weka.Bagging_J48(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_J48(2)_I20
weka.Bagging_J48(2)_P100
weka.Bagging_J48(2)_S1
weka.Bagging_J48(2)_Wweka.classifiers.trees.J48
weka.Bagging_J48(2)_num-slots1
weka.J48(3)_C0.25
weka.J48(3)_M2

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
0.759
Per class
Cross-validation details (33% Holdout set)
Build CPU time
0.076
Cross-validation details (33% Holdout set)
Build memory
488137656
Cross-validation details (33% Holdout set)
F measure
0.4851
Per class
Cross-validation details (33% Holdout set)
Kappa
0.1287
Cross-validation details (33% Holdout set)
KB relative information score
5.1377
Cross-validation details (33% Holdout set)
Mean absolute error
0.2503
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.2983
Cross-validation details (33% Holdout set)
Number of instances
24
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4444
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.5417
Cross-validation details (33% Holdout set)
Prior entropy
1.5899
Cross-validation details (33% Holdout set)
Recall
0.5417
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.8388
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3886
Cross-validation details (33% Holdout set)
Root mean squared error
0.3847
Cross-validation details (33% Holdout set)
Root relative squared error
0.99
Cross-validation details (33% Holdout set)
SciMark benchmark
917.8314