DEVELOPMENT... OpenML
Run
148797

Run 148797

Task 3705 (Supervised Classification) autoHorse 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
0.9967
Per class
F measure
0.9706
Per class
Kappa
0.9388
KB relative information score
152.4999
Mean absolute error
0.1467
Mean prior absolute error
0.4821
Number of instances
205
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9713
Per class
Predictive accuracy
0.9707
Prior entropy
0.9742
Recall
0.9707
Per class
Relative absolute error
0.3044
Root mean prior squared error
0.4909
Root mean squared error
0.1951
Root relative squared error
0.3974
SciMark benchmark
947.9494
UserCPU time millis
160
UserCPU time millis testing
10
UserCPU time millis training
150