DEVELOPMENT... OpenML
Run
33015

Run 33015

Task 11 (Supervised Classification) balance-scale 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
0.9525
Per class
Build CPU time
4.3774
Build memory
1063093950.1568
F measure
0.8502
Per class
Kappa
0.7893
KB relative information score
335.7666
Mean absolute error
0.171
Mean prior absolute error
0.3798
Number of instances
625
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.817
Per class
Predictive accuracy
0.8864
Prior entropy
1.3212
Recall
0.8864
Per class
Relative absolute error
0.4502
Root mean prior squared error
0.4356
Root mean squared error
0.2593
Root relative squared error
0.5953
SciMark benchmark
947.337