DEVELOPMENT... OpenML
Run
33525

Run 33525

Task 2356 (Supervised Classification) meta_stream_intervals.arff Uploaded 15-10-2014 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
0.9998
Per class
Build CPU time
15609.751
Build memory
205802120
F measure
0.9929
Per class
Kappa
0.9897
KB relative information score
14586.4545
Mean absolute error
0.0026
Mean prior absolute error
0.1069
Number of instances
14904
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9929
Per class
Predictive accuracy
0.9929
Prior entropy
2.3329
Recall
0.9929
Per class
Relative absolute error
0.0244
Root mean prior squared error
0.2308
Root mean squared error
0.0322
Root relative squared error
0.1396
SciMark benchmark
944.1669

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