DEVELOPMENT... OpenML
Run
72832

Run 72832

Task 3812 (Supervised Classification) arsenic-female-bladder Uploaded 01-12-2014 by Felicia West
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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

Area under ROC curve
0.5181
Per class
Build CPU time
0.0101
Build memory
518220391.4848
F measure
0.8266
Per class
Kappa
0.1823
KB relative information score
114.8932
Mean absolute error
0.157
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
0.8571
Per class
Predictive accuracy
0.8694
Prior entropy
0.5956
Recall
0.8694
Per class
Relative absolute error
0.6377
Root mean prior squared error
0.3502
Root mean squared error
0.3569
Root relative squared error
1.0191
SciMark benchmark
941.6532