DEVELOPMENT... OpenML
Run
29849

Run 29849

Task 3812 (Supervised Classification) arsenic-female-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)_I40
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
0.7591
Per class
Build CPU time
0.132
Build memory
43763703.5564
F measure
0.7908
Per class
KB relative information score
-10.8638
Mean absolute error
0.2444
Mean prior absolute error
0.2462
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
0.7343
Per class
Predictive accuracy
0.8569
Prior entropy
0.5956
Recall
0.8569
Per class
Relative absolute error
0.993
Root mean prior squared error
0.3502
Root mean squared error
0.3462
Root relative squared error
0.9887
SciMark benchmark
941.9954