Run
411944

Run 411944

Task 289 (Supervised Classification) iris Uploaded 01-05-2015 by Joaquin Vanschoren
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Flow

weka.Decorate(2)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(2)_E15
weka.Decorate(2)_R1.0
weka.Decorate(2)_S1
weka.Decorate(2)_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
0.9841
Per class
Cross-validation details (33% Holdout set)
F measure
0.898
Per class
Cross-validation details (33% Holdout set)
Kappa
0.8467
Cross-validation details (33% Holdout set)
KB relative information score
35.8932
Cross-validation details (33% Holdout set)
Mean absolute error
0.1493
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4444
Cross-validation details (33% Holdout set)
Number of instances
49
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8992
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.898
Cross-validation details (33% Holdout set)
Prior entropy
1.585
Cross-validation details (33% Holdout set)
Recall
0.898
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.3358
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4714
Cross-validation details (33% Holdout set)
Root mean squared error
0.2282
Cross-validation details (33% Holdout set)
Root relative squared error
0.4842
Cross-validation details (33% Holdout set)
SciMark benchmark
933.0918
UserCPU time millis
70
Cross-validation details (33% Holdout set)
UserCPU time millis training
70
Cross-validation details (33% Holdout set)