Run
71097

Run 71097

Task 2353 (Supervised Classification) meta_batchincremental.arff 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

0.7688
Per class
Cross-validation details (33% Holdout set)
0.035
Cross-validation details (33% Holdout set)
540936184
Cross-validation details (33% Holdout set)
0.6951
Per class
Cross-validation details (33% Holdout set)
0.0526
Cross-validation details (33% Holdout set)
4.6476
Cross-validation details (33% Holdout set)
0.1656
Cross-validation details (33% Holdout set)
0.2249
Cross-validation details (33% Holdout set)
24
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]
0.6477
Per class
Cross-validation details (33% Holdout set)
0.75
Cross-validation details (33% Holdout set)
1.3842
Cross-validation details (33% Holdout set)
0.75
Per class
Cross-validation details (33% Holdout set)
0.7365
Cross-validation details (33% Holdout set)
0.3095
Cross-validation details (33% Holdout set)
0.2874
Cross-validation details (33% Holdout set)
0.9286
Cross-validation details (33% Holdout set)
940.6012