DEVELOPMENT... OpenML
Run
30150

Run 30150

Task 4361 (Supervised Classification) diabetes_numeric 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)_I80
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
0.6847
Per class
Build CPU time
0.0101
Build memory
583579266.7721
F measure
0.6568
Per class
Kappa
0.2744
KB relative information score
79.9178
Mean absolute error
0.394
Mean prior absolute error
0.4791
Number of instances
430
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6571
Per class
Predictive accuracy
0.6651
Prior entropy
0.971
Recall
0.6651
Per class
Relative absolute error
0.8225
Root mean prior squared error
0.4889
Root mean squared error
0.4762
Root relative squared error
0.974
SciMark benchmark
932.6628