Run
55015

Run 55015

Task 1730 (Learning Curve) credit-g 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
0.7501 ± 0.0608
Per class
Build CPU time
0.3476
Build memory
298220487.3778
F measure
0.7282 ± 0.0302
Per class
Kappa
0.334 ± 0.0758
KB relative information score
0.1579 ± 0.0379
Mean absolute error
0.3487 ± 0.0109
Mean prior absolute error
0.4202
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7255 ± 0.0326
Per class
Predictive accuracy
0.74 ± 0.0279
Prior entropy
0.8813
Recall
0.74 ± 0.0279
Per class
Relative absolute error
0.83 ± 0.0259
Root mean prior squared error
0.4583
Root mean squared error
0.4187 ± 0.0195
Root relative squared error
0.9136 ± 0.0425
SciMark benchmark
1606.2579