DEVELOPMENT... OpenML
Run
92366

Run 92366

Task 3656 (Supervised Classification) diabetes_numeric 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
0.569
Per class
Build memory
95715248
F measure
0.5955
Per class
Kappa
0.1527
KB relative information score
4.8904
Mean absolute error
0.428
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
0.6109
Per class
Predictive accuracy
0.6279
Prior entropy
0.971
Recall
0.6279
Per class
Relative absolute error
0.8933
Root mean prior squared error
0.4889
Root mean squared error
0.5341
Root relative squared error
1.0923
SciMark benchmark
922.5645