Run
71650

Run 71650

Task 237 (Supervised Classification) audiology Uploaded 01-12-2014 by Joaquin Vanschoren
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Flow

weka.Bagging_OneR(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_OneR(2)_I40
weka.Bagging_OneR(2)_P100
weka.Bagging_OneR(2)_S1
weka.Bagging_OneR(2)_Wweka.classifiers.rules.OneR
weka.Bagging_OneR(2)_num-slots1
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

0.6224
Per class
Cross-validation details (33% Holdout set)
0.009
Cross-validation details (33% Holdout set)
1650807960
Cross-validation details (33% Holdout set)
0.2244
Per class
Cross-validation details (33% Holdout set)
0.2395
Cross-validation details (33% Holdout set)
15.9829
Cross-validation details (33% Holdout set)
0.0518
Cross-validation details (33% Holdout set)
0.0736
Cross-validation details (33% Holdout set)
74
Per class
Cross-validation details (33% Holdout set)
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
0.1659
Per class
Cross-validation details (33% Holdout set)
0.3784
Cross-validation details (33% Holdout set)
3.6349
Cross-validation details (33% Holdout set)
0.3784
Per class
Cross-validation details (33% Holdout set)
0.7036
Cross-validation details (33% Holdout set)
0.1925
Cross-validation details (33% Holdout set)
0.2276
Cross-validation details (33% Holdout set)
1.1821
Cross-validation details (33% Holdout set)
937.52