Run
71674

Run 71674

Task 241 (Supervised Classification) balance-scale 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

0.795
Per class
Cross-validation details (33% Holdout set)
0.009
Cross-validation details (33% Holdout set)
235600136
Cross-validation details (33% Holdout set)
0.5731
Per class
Cross-validation details (33% Holdout set)
0.3024
Cross-validation details (33% Holdout set)
63.8857
Cross-validation details (33% Holdout set)
0.2654
Cross-validation details (33% Holdout set)
0.3857
Cross-validation details (33% Holdout set)
206
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]
0.5653
Per class
Cross-validation details (33% Holdout set)
0.6117
Cross-validation details (33% Holdout set)
1.3212
Cross-validation details (33% Holdout set)
0.6117
Per class
Cross-validation details (33% Holdout set)
0.688
Cross-validation details (33% Holdout set)
0.4424
Cross-validation details (33% Holdout set)
0.4088
Cross-validation details (33% Holdout set)
0.9241
Cross-validation details (33% Holdout set)
938.3567