DEVELOPMENT... OpenML
Run
27391

Run 27391

Task 2125 (Supervised Classification) eucalyptus Uploaded 08-10-2014 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)_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
0.8995
Per class
Build CPU time
0.201
Build memory
1889223848
F measure
0.6436
Per class
Kappa
0.5457
KB relative information score
132.3688
Mean absolute error
0.1784
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
0.6505
Per class
Predictive accuracy
0.6488
Prior entropy
2.2629
Recall
0.6488
Per class
Relative absolute error
0.5692
Root mean prior squared error
0.3959
Root mean squared error
0.3015
Root relative squared error
0.7614
SciMark benchmark
908.177