DEVELOPMENT... OpenML
Run
26795

Run 26795

Task 4361 (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
0.6756
Per class
Build CPU time
0.0042
Build memory
1208998203.5535
F measure
0.6479
Per class
Kappa
0.2558
KB relative information score
75.6322
Mean absolute error
0.3976
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
0.6475
Per class
Predictive accuracy
0.6558
Prior entropy
0.971
Recall
0.6558
Per class
Relative absolute error
0.8299
Root mean prior squared error
0.4889
Root mean squared error
0.482
Root relative squared error
0.9858
SciMark benchmark
929.3867