Run
54268

Run 54268

Task 1736 (Learning Curve) diabetes Uploaded 08-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.OneR(3)R.C. Holte (1993). Very simple classification rules perform well on most commonly used datasets. Machine Learning. 11:63-91.
weka.OneR(3)_B6

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
0.6444 ± 0.0572
Per class
Build CPU time
0.0003
Build memory
2399686644
F measure
0.6936 ± 0.0567
Per class
Kappa
0.3103 ± 0.1226
KB relative information score
0.332 ± 0.1219
Mean absolute error
0.2917 ± 0.0536
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
768
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.6957 ± 0.0583
Per class
Predictive accuracy
0.7083 ± 0.0536
Prior entropy
0.9331 ± 0.0046
Recall
0.7083 ± 0.0536
Per class
Relative absolute error
0.6417 ± 0.1174
Root mean prior squared error
0.4766 ± 0.0016
Root mean squared error
0.5401 ± 0.0484
Root relative squared error
1.1331 ± 0.1007
SciMark benchmark
1615.5755