OpenML
93517

Run 93517

Task 267 (Supervised Classification) diabetes Uploaded 08-12-2014 by Joaquin Vanschoren
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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
0.6669
Per class
Cross-validation details (33% Holdout set)
Build CPU time
0.002
Cross-validation details (33% Holdout set)
Build memory
330349616
Cross-validation details (33% Holdout set)
F measure
0.7052
Per class
Cross-validation details (33% Holdout set)
Kappa
0.3519
Cross-validation details (33% Holdout set)
KB relative information score
91.6235
Cross-validation details (33% Holdout set)
Mean absolute error
0.2846
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4589
Cross-validation details (33% Holdout set)
Number of instances
253
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7067
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.7154
Cross-validation details (33% Holdout set)
Prior entropy
0.9335
Cross-validation details (33% Holdout set)
Recall
0.7154
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.6201
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4813
Cross-validation details (33% Holdout set)
Root mean squared error
0.5335
Cross-validation details (33% Holdout set)
Root relative squared error
1.1085
Cross-validation details (33% Holdout set)
SciMark benchmark
946.3269