DEVELOPMENT... OpenML
Run
34632

Run 34632

Task 3896 (Supervised Classification) ada_agnostic Uploaded 19-10-2014 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)_I80
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
0.8745
Per class
Build CPU time
215.5081
Build memory
507405718.3323
F measure
0.8355
Per class
Kappa
0.5377
KB relative information score
1730.2178
Mean absolute error
0.2361
Mean prior absolute error
0.3732
Number of instances
4562
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8412
Per class
Predictive accuracy
0.847
Prior entropy
0.8085
Recall
0.847
Per class
Relative absolute error
0.6326
Root mean prior squared error
0.4319
Root mean squared error
0.3348
Root relative squared error
0.7752
SciMark benchmark
946.5758