DEVELOPMENT... OpenML
Run
148452

Run 148452

Task 21 (Supervised Classification) car 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
0.9911
Per class
F measure
0.9342
Per class
Kappa
0.8587
KB relative information score
67.2109
Mean absolute error
0.2463
Mean prior absolute error
0.229
Number of instances
1728
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9355
Per class
Predictive accuracy
0.9346
Prior entropy
1.2099
Recall
0.9346
Per class
Relative absolute error
1.0756
Root mean prior squared error
0.3381
Root mean squared error
0.2909
Root relative squared error
0.8604
SciMark benchmark
947.9494
UserCPU time millis
700
UserCPU time millis testing
10
UserCPU time millis training
690