DEVELOPMENT... OpenML
Run
33238

Run 33238

Task 2352 (Supervised Classification) meta_all.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
0.6558
Per class
Build CPU time
1.25
Build memory
93028864
F measure
0.622
Per class
Kappa
0.1436
KB relative information score
3.9542
Mean absolute error
0.1681
Mean prior absolute error
0.1912
Number of instances
23
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5839
Per class
Predictive accuracy
0.6957
Prior entropy
1.9094
Recall
0.6957
Per class
Relative absolute error
0.8789
Root mean prior squared error
0.2919
Root mean squared error
0.2839
Root relative squared error
0.9727
SciMark benchmark
937.1801