DEVELOPMENT... OpenML
Run
148463

Run 148463

Task 30 (Supervised Classification) page-blocks 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
0.9872
Per class
F measure
0.974
Per class
Kappa
0.8638
KB relative information score
4193.6411
Mean absolute error
0.0187
Mean prior absolute error
0.0762
Number of instances
5473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9739
Per class
Predictive accuracy
0.9744
Prior entropy
0.6391
Recall
0.9744
Per class
Relative absolute error
0.2449
Root mean prior squared error
0.1949
Root mean squared error
0.0912
Root relative squared error
0.4682
SciMark benchmark
947.9494
UserCPU time millis
43480
UserCPU time millis testing
80
UserCPU time millis training
43400