DEVELOPMENT... OpenML
Run
71031

Run 71031

Task 37 (Supervised Classification) diabetes 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)_I40
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
0.7236
Per class
Build CPU time
0.0379
Build memory
344096331.1563
F measure
0.6834
Per class
Kappa
0.2867
KB relative information score
206.3976
Mean absolute error
0.329
Mean prior absolute error
0.4545
Number of instances
768
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6943
Per class
Predictive accuracy
0.707
Prior entropy
0.9335
Recall
0.707
Per class
Relative absolute error
0.7239
Root mean prior squared error
0.4766
Root mean squared error
0.4552
Root relative squared error
0.955
SciMark benchmark
937.52