DEVELOPMENT... OpenML
Run
148466

Run 148466

Task 34 (Supervised Classification) postoperative-patient-data 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
0.4659
Per class
F measure
0.5854
Per class
Kappa
-0.0427
KB relative information score
-41.4906
Mean absolute error
0.39
Mean prior absolute error
0.2871
Number of instances
90
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.557
Per class
Predictive accuracy
0.6444
Prior entropy
1.0305
Recall
0.6444
Per class
Relative absolute error
1.3587
Root mean prior squared error
0.3755
Root mean squared error
0.4283
Root relative squared error
1.1407
SciMark benchmark
929.566
UserCPU time millis
80
UserCPU time millis training
80