DEVELOPMENT... OpenML
Run
33243

Run 33243

Task 2353 (Supervised Classification) meta_batchincremental.arff 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
0.828
Per class
Build CPU time
0.981
Build memory
74491784
F measure
0.8438
Per class
Kappa
0.64
KB relative information score
3.8408
Mean absolute error
0.1774
Mean prior absolute error
0.2249
Number of instances
24
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.825
Per class
Predictive accuracy
0.875
Prior entropy
1.3842
Recall
0.875
Per class
Relative absolute error
0.7886
Root mean prior squared error
0.3095
Root mean squared error
0.2785
Root relative squared error
0.9
SciMark benchmark
932.444

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