Run
269934

Run 269934

Task 4361 (Supervised Classification) diabetes_numeric Uploaded 06-03-2015 by Joaquin Vanschoren
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Flow

weka.FURIA(1)Jens Christian Huehn, Eyke Huellermeier (2009). FURIA: An Algorithm for Unordered Fuzzy Rule Induction. Data Mining and Knowledge Discovery..
weka.FURIA(1)_F3
weka.FURIA(1)_N2.0
weka.FURIA(1)_O2
weka.FURIA(1)_S1
weka.FURIA(1)_s0
weka.FURIA(1)_p0

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

0.6548
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.6266
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.2144
Cross-validation details (10 times 10-fold Crossvalidation)
114.3897
Cross-validation details (10 times 10-fold Crossvalidation)
0.3441
Cross-validation details (10 times 10-fold Crossvalidation)
0.4791
Cross-validation details (10 times 10-fold Crossvalidation)
430
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
0.6403
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.6512
Cross-validation details (10 times 10-fold Crossvalidation)
0.971
Cross-validation details (10 times 10-fold Crossvalidation)
0.6512
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.7183
Cross-validation details (10 times 10-fold Crossvalidation)
0.4889
Cross-validation details (10 times 10-fold Crossvalidation)
0.5568
Cross-validation details (10 times 10-fold Crossvalidation)
1.1388
Cross-validation details (10 times 10-fold Crossvalidation)
943.1756
10
Cross-validation details (10 times 10-fold Crossvalidation)
Cross-validation details (10 times 10-fold Crossvalidation)
10
Cross-validation details (10 times 10-fold Crossvalidation)