DEVELOPMENT... OpenML
Run
27134

Run 27134

Task 37 (Supervised Classification) diabetes Uploaded 08-10-2014 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)_I20
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.

17 Evaluation measures

Area under ROC curve
0.826
Per class
F measure
0.7548
Per class
Kappa
0.4533
KB relative information score
264.2527
Mean absolute error
0.3002
Mean prior absolute error
0.4545
Number of instances
768
Per class
Precision
0.7538
Per class
Predictive accuracy
0.7591
Prior entropy
0.9335
Recall
0.7591
Per class
Relative absolute error
0.6606
Root mean prior squared error
0.4766
Root mean squared error
0.4013
Root relative squared error
0.8419