Run
71949

Run 71949

Task 265 (Supervised Classification) dermatology 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)_I20
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

0.8988
Per class
Cross-validation details (33% Holdout set)
0.007
Cross-validation details (33% Holdout set)
849999984
Cross-validation details (33% Holdout set)
0.3925
Per class
Cross-validation details (33% Holdout set)
0.3095
Cross-validation details (33% Holdout set)
47.3913
Cross-validation details (33% Holdout set)
0.1726
Cross-validation details (33% Holdout set)
0.2653
Cross-validation details (33% Holdout set)
120
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]
0.3576
Per class
Cross-validation details (33% Holdout set)
0.5083
Cross-validation details (33% Holdout set)
2.4378
Cross-validation details (33% Holdout set)
0.5083
Per class
Cross-validation details (33% Holdout set)
0.6507
Cross-validation details (33% Holdout set)
0.3633
Cross-validation details (33% Holdout set)
0.3083
Cross-validation details (33% Holdout set)
0.8485
Cross-validation details (33% Holdout set)
942.4281