DEVELOPMENT... OpenML
Run
148829

Run 148829

Task 3737 (Supervised Classification) fri_c3_250_50 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
0.908
Per class
F measure
0.8325
Per class
Kappa
0.6599
KB relative information score
71.8053
Mean absolute error
0.374
Mean prior absolute error
0.4908
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8339
Per class
Predictive accuracy
0.832
Prior entropy
0.9868
Recall
0.832
Per class
Relative absolute error
0.762
Root mean prior squared error
0.4954
Root mean squared error
0.3968
Root relative squared error
0.8011
SciMark benchmark
918.4924
UserCPU time millis
600
UserCPU time millis training
600