DEVELOPMENT... OpenML
Run
148639

Run 148639

Task 3542 (Supervised Classification) analcatdata_lawsuit 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
0.9806
Per class
F measure
0.9848
Per class
Kappa
0.8866
KB relative information score
-871.6176
Mean absolute error
0.2504
Mean prior absolute error
0.1363
Number of instances
264
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9848
Per class
Predictive accuracy
0.9848
Prior entropy
0.385
Recall
0.9848
Per class
Relative absolute error
1.8365
Root mean prior squared error
0.2585
Root mean squared error
0.2697
Root relative squared error
1.0433
SciMark benchmark
933.8635
UserCPU time millis
160
UserCPU time millis testing
10
UserCPU time millis training
150

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