DEVELOPMENT... OpenML
Run
34430

Run 34430

Task 2354 (Supervised Classification) meta_ensembles.arff 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
0.7048
Per class
Build CPU time
0.679
Build memory
1121684848
F measure
0.4333
Per class
Kappa
0.0294
KB relative information score
4.5629
Mean absolute error
0.2543
Mean prior absolute error
0.2983
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
0.3611
Per class
Predictive accuracy
0.5417
Prior entropy
1.5899
Recall
0.5417
Per class
Relative absolute error
0.8523
Root mean prior squared error
0.3886
Root mean squared error
0.3874
Root relative squared error
0.997
SciMark benchmark
942.834