DEVELOPMENT... OpenML
Run
148459

Run 148459

Task 22 (Supervised Classification) mfeat-zernike Uploaded 03-02-2015 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
0.9677
Per class
F measure
0.7532
Per class
Kappa
0.73
KB relative information score
1473.7343
Mean absolute error
0.0717
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7521
Per class
Predictive accuracy
0.757
Prior entropy
3.3219
Recall
0.757
Per class
Relative absolute error
0.3985
Root mean prior squared error
0.3
Root mean squared error
0.1788
Root relative squared error
0.5959
SciMark benchmark
947.9494
UserCPU time millis
26530
UserCPU time millis testing
90
UserCPU time millis training
26440

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