Run
326040

Run 326040

Task 1799 (Supervised Classification) dermatology Uploaded 26-03-2015 by Joaquin Vanschoren
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Flow

weka.A2DE(3)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(3)_F1
weka.A2DE(3)_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

0.9992
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
0.9776
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
0.972
Cross-validation details (5 times 2-fold Crossvalidation)
1773.3476
Cross-validation details (5 times 2-fold Crossvalidation)
0.0106
Cross-validation details (5 times 2-fold Crossvalidation)
0.2664
Cross-validation details (5 times 2-fold Crossvalidation)
1830
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
0.9785
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
0.9776
Cross-validation details (5 times 2-fold Crossvalidation)
2.4378
Cross-validation details (5 times 2-fold Crossvalidation)
0.9776
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
0.0396
Cross-validation details (5 times 2-fold Crossvalidation)
0.3649
Cross-validation details (5 times 2-fold Crossvalidation)
0.0748
Cross-validation details (5 times 2-fold Crossvalidation)
0.2049
Cross-validation details (5 times 2-fold Crossvalidation)
1344.0499
670
Cross-validation details (5 times 2-fold Crossvalidation)
520
Cross-validation details (5 times 2-fold Crossvalidation)
150
Cross-validation details (5 times 2-fold Crossvalidation)