DEVELOPMENT... OpenML
Run
148467

Run 148467

Task 35 (Supervised Classification) dermatology 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
0.9967
Per class
F measure
0.9808
Per class
Kappa
0.976
KB relative information score
314.4743
Mean absolute error
0.0628
Mean prior absolute error
0.2664
Number of instances
366
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.981
Per class
Predictive accuracy
0.9809
Prior entropy
2.4378
Recall
0.9809
Per class
Relative absolute error
0.2358
Root mean prior squared error
0.3649
Root mean squared error
0.1132
Root relative squared error
0.3103
SciMark benchmark
929.566
UserCPU time millis
270
UserCPU time millis training
270