DEVELOPMENT... OpenML
Run
29125

Run 29125

Task 2125 (Supervised Classification) eucalyptus Uploaded 10-10-2014 by Felicia West
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Flow

weka.Bagging_J48(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_J48(2)_I40
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
0.9059
Per class
Build CPU time
0.412
Build memory
846397576
F measure
0.6501
Per class
Kappa
0.5565
KB relative information score
133.0968
Mean absolute error
0.1785
Mean prior absolute error
0.3134
Number of instances
242
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6664
Per class
Predictive accuracy
0.657
Prior entropy
2.2629
Recall
0.657
Per class
Relative absolute error
0.5697
Root mean prior squared error
0.3959
Root mean squared error
0.2987
Root relative squared error
0.7546
SciMark benchmark
923.4463