DEVELOPMENT... OpenML
Run
34649

Run 34649

Task 58 (Supervised Classification) waveform-5000 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
0.9661
Per class
Build CPU time
367.7452
Build memory
457156139.2
F measure
0.851
Per class
Kappa
0.7771
KB relative information score
3479.8852
Mean absolute error
0.1665
Mean prior absolute error
0.4444
Number of instances
5000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8518
Per class
Predictive accuracy
0.8514
Prior entropy
1.5849
Recall
0.8514
Per class
Relative absolute error
0.3748
Root mean prior squared error
0.4714
Root mean squared error
0.2652
Root relative squared error
0.5626
SciMark benchmark
935.1044