Run
55017

Run 55017

Task 1735 (Learning Curve) segment Uploaded 10-11-2014 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
0.9989 ± 0.0014
Per class
Build CPU time
3.2892
Build memory
249398349.9333
F measure
0.9805 ± 0.0062
Per class
Kappa
0.9773 ± 0.0072
KB relative information score
0.9624 ± 0.0084
Mean absolute error
0.0148 ± 0.0027
Mean prior absolute error
0.2449
Number of instances
2310
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9806 ± 0.0062
Per class
Predictive accuracy
0.9805 ± 0.0062
Prior entropy
2.8074
Recall
0.9805 ± 0.0062
Per class
Relative absolute error
0.0606 ± 0.0111
Root mean prior squared error
0.3499
Root mean squared error
0.0704 ± 0.0119
Root relative squared error
0.2012 ± 0.0339
SciMark benchmark
1606.2579