DEVELOPMENT... OpenML
Run
27362

Run 27362

Task 3656 (Supervised Classification) diabetes_numeric 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.

21 Evaluation measures

Area under ROC curve
0.7059
Per class
Build CPU time
0.0034
Build memory
995829978.6047
F measure
0.6703
Per class
Kappa
0.3049
KB relative information score
9.3546
Mean absolute error
0.3783
Mean prior absolute error
0.4791
Number of instances
43
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6691
Per class
Predictive accuracy
0.6744
Prior entropy
0.971
Recall
0.6744
Per class
Relative absolute error
0.7896
Root mean prior squared error
0.4889
Root mean squared error
0.4648
Root relative squared error
0.9505
SciMark benchmark
880.2772

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