Run
59823

Run 59823

Task 1705 (Learning Curve) letter Uploaded 15-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.Decorate(1)P. Melville, R. J. Mooney: Constructing Diverse Classifier Ensembles Using Artificial Training Examples. In: Eighteenth International Joint Conference on Artificial Intelligence, 505-510, 2003. P. Melville, R. J. Mooney (2004). Creating Diversity in Ensembles Using Artificial Data. Information Fusion: Special Issue on Diversity in Multiclassifier Systems..
weka.Decorate(1)_E15
weka.Decorate(1)_R1.0
weka.Decorate(1)_S1
weka.Decorate(1)_I50

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
0.9958 ± 0.0012
Per class
Build CPU time
200.5981
Build memory
2841490669.2889
F measure
0.9264 ± 0.0066
Per class
Kappa
0.9233 ± 0.0069
KB relative information score
0.9101 ± 0.004
Mean absolute error
0.0132 ± 0.0004
Mean prior absolute error
0.074 ± 0
Number of instances
20000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9266 ± 0.0065
Per class
Predictive accuracy
0.9263 ± 0.0067
Prior entropy
4.6998 ± 0.0001
Recall
0.9263 ± 0.0067
Per class
Relative absolute error
0.1791 ± 0.0055
Root mean prior squared error
0.1923 ± 0
Root mean squared error
0.0703 ± 0.0017
Root relative squared error
0.3657 ± 0.009
SciMark benchmark
1481.5839