DEVELOPMENT... OpenML
Run
33161

Run 33161

Task 2079 (Supervised Classification) eucalyptus Uploaded 14-10-2014 by Felicia West
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Flow

weka.Bagging_JRip(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_JRip(2)_I160
weka.Bagging_JRip(2)_P100
weka.Bagging_JRip(2)_S1
weka.Bagging_JRip(2)_Wweka.classifiers.rules.JRip
weka.Bagging_JRip(2)_num-slots1
weka.JRip(2)_F3
weka.JRip(2)_N2.0
weka.JRip(2)_O2
weka.JRip(2)_S1

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
0.9098
Per class
Build CPU time
22.9849
Build memory
374111622.0217
F measure
0.6661
Per class
Kappa
0.5773
KB relative information score
387.3461
Mean absolute error
0.1851
Mean prior absolute error
0.3132
Number of instances
736
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6787
Per class
Predictive accuracy
0.6753
Prior entropy
2.2629
Recall
0.6753
Per class
Relative absolute error
0.5909
Root mean prior squared error
0.3957
Root mean squared error
0.2965
Root relative squared error
0.7492
SciMark benchmark
946.9508