DEVELOPMENT... OpenML
Run
34039

Run 34039

Task 3057 (Supervised Classification) SPECTF Uploaded 17-10-2014 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
0.9375
Per class
Build CPU time
3.615
Build memory
1750003448
F measure
0.8853
Per class
Kappa
0.716
KB relative information score
52.3353
Mean absolute error
0.2352
Mean prior absolute error
0.4035
Number of instances
115
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8851
Per class
Predictive accuracy
0.887
Prior entropy
0.8464
Recall
0.887
Per class
Relative absolute error
0.5828
Root mean prior squared error
0.4525
Root mean squared error
0.3105
Root relative squared error
0.6861
SciMark benchmark
943.2198