DEVELOPMENT... OpenML
Run
32732

Run 32732

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)_I160
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
0.808
Per class
Build CPU time
0.2434
Build memory
698731399.1127
F measure
0.7908
Per class
KB relative information score
-1.1814
Mean absolute error
0.2437
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
0.9898
Root mean prior squared error
0.3502
Root mean squared error
0.3469
Root relative squared error
0.9906
SciMark benchmark
945.5021