DEVELOPMENT... OpenML
Run
92132

Run 92132

Task 37 (Supervised Classification) diabetes Uploaded 08-12-2014 by Felicia West
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Flow

weka.J48(13)Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
weka.J48(13)_C0.25
weka.J48(13)_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
0.7443
Per class
Build CPU time
0.01
Build memory
206165041.6979
F measure
0.7379
Per class
Kappa
0.4147
KB relative information score
241.2932
Mean absolute error
0.3145
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
0.7369
Per class
Predictive accuracy
0.7435
Prior entropy
0.9335
Recall
0.7435
Per class
Relative absolute error
0.692
Root mean prior squared error
0.4766
Root mean squared error
0.4462
Root relative squared error
0.9362
SciMark benchmark
938.2445