DEVELOPMENT... OpenML
Run
33166

Run 33166

Task 30 (Supervised Classification) page-blocks 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
0.9888
Per class
Build CPU time
105.3951
Build memory
503415382.7415
F measure
0.9743
Per class
Kappa
0.8643
KB relative information score
4346.8081
Mean absolute error
0.0164
Mean prior absolute error
0.0762
Number of instances
5473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9742
Per class
Predictive accuracy
0.975
Prior entropy
0.6391
Recall
0.975
Per class
Relative absolute error
0.2151
Root mean prior squared error
0.1949
Root mean squared error
0.0887
Root relative squared error
0.4555
SciMark benchmark
938.4856