OpenML
93507

Run 93507

Task 1801 (Supervised Classification) diabetes Uploaded 08-12-2014 by Joaquin Vanschoren
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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
0.6585
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Build CPU time
0.001
Cross-validation details (5 times 2-fold Crossvalidation)
Build memory
683103442.4
Cross-validation details (5 times 2-fold Crossvalidation)
F measure
0.7085
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Kappa
0.3434
Cross-validation details (5 times 2-fold Crossvalidation)
KB relative information score
1416.168
Cross-validation details (5 times 2-fold Crossvalidation)
Mean absolute error
0.2755
Cross-validation details (5 times 2-fold Crossvalidation)
Mean prior absolute error
0.4545
Cross-validation details (5 times 2-fold Crossvalidation)
Number of instances
3840
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7143
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Predictive accuracy
0.7245
Cross-validation details (5 times 2-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (5 times 2-fold Crossvalidation)
Recall
0.7245
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Relative absolute error
0.6062
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean squared error
0.5249
Cross-validation details (5 times 2-fold Crossvalidation)
Root relative squared error
1.1013
Cross-validation details (5 times 2-fold Crossvalidation)
SciMark benchmark
946.8522