Run
93739

Run 93739

Task 2354 (Supervised Classification) meta_ensembles.arff Uploaded 08-12-2014 by Joaquin Vanschoren
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Flow

weka.OneR(3)R.C. Holte (1993). Very simple classification rules perform well on most commonly used datasets. Machine Learning. 11:63-91.
weka.OneR(3)_B6

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.

21 Evaluation measures

Area under ROC curve
0.5
Per class
Cross-validation details (33% Holdout set)
Build CPU time
0.001
Cross-validation details (33% Holdout set)
Build memory
617668752
Cross-validation details (33% Holdout set)
F measure
0.4298
Per class
Cross-validation details (33% Holdout set)
KB relative information score
5.3016
Cross-validation details (33% Holdout set)
Mean absolute error
0.2083
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.2983
Cross-validation details (33% Holdout set)
Number of instances
24
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
0.3403
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.5833
Cross-validation details (33% Holdout set)
Prior entropy
1.5899
Cross-validation details (33% Holdout set)
Recall
0.5833
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.6983
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3886
Cross-validation details (33% Holdout set)
Root mean squared error
0.4564
Cross-validation details (33% Holdout set)
Root relative squared error
1.1746
Cross-validation details (33% Holdout set)
SciMark benchmark
946.5615