DEVELOPMENT... OpenML
Run
31815

Run 31815

Task 37 (Supervised Classification) diabetes 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
0.8282
Per class
Build CPU time
1.2215
Build memory
385211087.4792
F measure
0.7594
Per class
Kappa
0.4645
KB relative information score
261.4701
Mean absolute error
0.303
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
0.7584
Per class
Predictive accuracy
0.763
Prior entropy
0.9335
Recall
0.763
Per class
Relative absolute error
0.6666
Root mean prior squared error
0.4766
Root mean squared error
0.3984
Root relative squared error
0.8359
SciMark benchmark
946.9974