Run
104708

Run 104708

Task 1799 (Supervised Classification) dermatology 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
0.9992
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Build CPU time
0.1102
Cross-validation details (5 times 2-fold Crossvalidation)
Build memory
670093216
Cross-validation details (5 times 2-fold Crossvalidation)
F measure
0.9776
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Kappa
0.972
Cross-validation details (5 times 2-fold Crossvalidation)
KB relative information score
1773.3476
Cross-validation details (5 times 2-fold Crossvalidation)
Mean absolute error
0.0106
Cross-validation details (5 times 2-fold Crossvalidation)
Mean prior absolute error
0.2664
Cross-validation details (5 times 2-fold Crossvalidation)
Number of instances
1830
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
0.9785
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Predictive accuracy
0.9776
Cross-validation details (5 times 2-fold Crossvalidation)
Prior entropy
2.4378
Cross-validation details (5 times 2-fold Crossvalidation)
Recall
0.9776
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Relative absolute error
0.0396
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean prior squared error
0.3649
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean squared error
0.0748
Cross-validation details (5 times 2-fold Crossvalidation)
Root relative squared error
0.2049
Cross-validation details (5 times 2-fold Crossvalidation)
SciMark benchmark
906.4221