DEVELOPMENT... OpenML
Run
148649

Run 148649

Task 3552 (Supervised Classification) analcatdata_creditscore Uploaded 06-02-2015 by Felicia West
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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.

22 Evaluation measures

Area under ROC curve
0.9878
Per class
F measure
0.9802
Per class
Kappa
0.9504
KB relative information score
36.0843
Mean absolute error
0.2641
Mean prior absolute error
0.3963
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9814
Per class
Predictive accuracy
0.98
Prior entropy
0.8479
Recall
0.98
Per class
Relative absolute error
0.6665
Root mean prior squared error
0.444
Root mean squared error
0.2906
Root relative squared error
0.6546
SciMark benchmark
933.8635
UserCPU time millis
30
UserCPU time millis training
30