DEVELOPMENT... OpenML
Run
148458

Run 148458

Task 27 (Supervised Classification) colic 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
0.8863
Per class
F measure
0.8375
Per class
Kappa
0.6479
KB relative information score
124.5031
Mean absolute error
0.3315
Mean prior absolute error
0.4662
Number of instances
368
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8384
Per class
Predictive accuracy
0.8397
Prior entropy
0.9509
Recall
0.8397
Per class
Relative absolute error
0.7111
Root mean prior squared error
0.4827
Root mean squared error
0.3701
Root relative squared error
0.7668
SciMark benchmark
901.0726
UserCPU time millis
510
UserCPU time millis testing
10
UserCPU time millis training
500