DEVELOPMENT... OpenML
Run
33948

Run 33948

Task 3812 (Supervised Classification) arsenic-female-bladder Uploaded 17-10-2014 by Felicia West
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Flow

weka.Bagging_JRip(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_JRip(2)_I160
weka.Bagging_JRip(2)_P100
weka.Bagging_JRip(2)_S1
weka.Bagging_JRip(2)_Wweka.classifiers.rules.JRip
weka.Bagging_JRip(2)_num-slots1
weka.JRip(2)_F3
weka.JRip(2)_N2.0
weka.JRip(2)_O2
weka.JRip(2)_S1

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
0.7605
Per class
Build CPU time
2.9738
Build memory
72800693.3381
F measure
0.8218
Per class
Kappa
0.1643
KB relative information score
25.0959
Mean absolute error
0.2063
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
0.8304
Per class
Predictive accuracy
0.8623
Prior entropy
0.5956
Recall
0.8623
Per class
Relative absolute error
0.838
Root mean prior squared error
0.3502
Root mean squared error
0.3276
Root relative squared error
0.9355
SciMark benchmark
945.5495