DEVELOPMENT... OpenML
Run
89395

Run 89395

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

weka.ComplementNaiveBayes(2)Jason D. Rennie, Lawrence Shih, Jaime Teevan, David R. Karger: Tackling the Poor Assumptions of Naive Bayes Text Classifiers. In: ICML, 616-623, 2003.
weka.ComplementNaiveBayes(2)_S1.0

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
0.5613
Per class
Build CPU time
0.0018
Build memory
153285738.5521
F measure
0.5951
Per class
Kappa
0.12
KB relative information score
48.7798
Mean absolute error
0.4089
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
0.6004
Per class
Predictive accuracy
0.5911
Prior entropy
0.9335
Recall
0.5911
Per class
Relative absolute error
0.8996
Root mean prior squared error
0.4766
Root mean squared error
0.6394
Root relative squared error
1.3415
SciMark benchmark
947.5303