DEVELOPMENT... OpenML
Run
34369

Run 34369

Task 37 (Supervised Classification) diabetes Uploaded 19-10-2014 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)_I80
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
0.8268
Per class
Build CPU time
4.5053
Build memory
80881482.0938
F measure
0.7634
Per class
Kappa
0.4686
KB relative information score
245.7116
Mean absolute error
0.3178
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
0.7672
Per class
Predictive accuracy
0.7721
Prior entropy
0.9335
Recall
0.7721
Per class
Relative absolute error
0.6993
Root mean prior squared error
0.4766
Root mean squared error
0.3983
Root relative squared error
0.8356
SciMark benchmark
921.0032