DEVELOPMENT... OpenML
Run
31305

Run 31305

Task 3810 (Supervised Classification) arsenic-male-bladder Uploaded 13-10-2014 by Felicia West
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Flow

weka.Bagging_J48(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_J48(2)_I80
weka.Bagging_J48(2)_P100
weka.Bagging_J48(2)_S1
weka.Bagging_J48(2)_Wweka.classifiers.trees.J48
weka.Bagging_J48(2)_num-slots1
weka.J48(3)_C0.25
weka.J48(3)_M2

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
0.697
Per class
Build CPU time
0.0434
Build memory
1218659044.3363
F measure
0.9361
Per class
KB relative information score
33.4638
Mean absolute error
0.0804
Mean prior absolute error
0.0837
Number of instances
559
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.916
Per class
Predictive accuracy
0.9571
Prior entropy
0.2628
Recall
0.9571
Per class
Relative absolute error
0.9609
Root mean prior squared error
0.2027
Root mean squared error
0.1999
Root relative squared error
0.9862
SciMark benchmark
940.1348