Run
104860

Run 104860

Task 3656 (Supervised Classification) diabetes_numeric Uploaded 08-12-2014 by Joaquin Vanschoren
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Flow

weka.A2DE(2)Webb, Geoffrey I., Boughton, Janice, Zheng, Fei, Ting, Kai Ming, Salem, Houssam (2012). Learning by extrapolation from marginal to full-multivariate probability distributions: decreasingly naive {Bayesian} classification. Machine Learning. 86(2):233-272.
weka.A2DE(2)_F1
weka.A2DE(2)_M1.0

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
0.4446
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.0001
Cross-validation details (10-fold Crossvalidation)
Build memory
1070686602.0465
Cross-validation details (10-fold Crossvalidation)
F measure
0.4943
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.0591
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.0405
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4732
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4791
Cross-validation details (10-fold Crossvalidation)
Number of instances
43
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4875
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5349
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.971
Cross-validation details (10-fold Crossvalidation)
Recall
0.5349
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9877
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4889
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5191
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0616
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
942.9279