Run
55050

Run 55050

Task 1742 (Learning Curve) spambase 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
0.9794 ± 0.0069
Per class
Build CPU time
12.6582
Build memory
231683255.2
F measure
0.9455 ± 0.014
Per class
Kappa
0.8858 ± 0.0295
KB relative information score
0.8159 ± 0.0198
Mean absolute error
0.0966 ± 0.009
Mean prior absolute error
0.4776 ± 0.0002
Number of instances
4601
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9456 ± 0.014
Per class
Predictive accuracy
0.9457 ± 0.0139
Prior entropy
0.9674 ± 0.0006
Recall
0.9457 ± 0.0139
Per class
Relative absolute error
0.2022 ± 0.0189
Root mean prior squared error
0.4886 ± 0.0002
Root mean squared error
0.2071 ± 0.02
Root relative squared error
0.4238 ± 0.041
SciMark benchmark
1606.2579