Run
144037

Run 144037

Task 3863 (Supervised Classification) hypothyroid Uploaded 31-01-2015 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.

22 Evaluation measures

Area under ROC curve
0.9962
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9829
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8793
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3036.2972
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.025
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1426
Cross-validation details (10-fold Crossvalidation)
Number of instances
3772
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
0.9828
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.983
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3928
Cross-validation details (10-fold Crossvalidation)
Recall
0.983
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1751
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2668
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1122
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4204
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
923.9763
UserCPU time millis
780
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
630
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
150
Cross-validation details (10-fold Crossvalidation)