Run
282468

Run 282468

Task 4282 (Supervised Classification) visualizing_livestock Uploaded 09-03-2015 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

0.6864
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.3195
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.2231
Cross-validation details (10 times 10-fold Crossvalidation)
349.6333
Cross-validation details (10 times 10-fold Crossvalidation)
0.2409
Cross-validation details (10 times 10-fold Crossvalidation)
0.32
Cross-validation details (10 times 10-fold Crossvalidation)
1300
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
0.2926
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.3785
Cross-validation details (10 times 10-fold Crossvalidation)
2.3219
Cross-validation details (10 times 10-fold Crossvalidation)
0.3785
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.7529
Cross-validation details (10 times 10-fold Crossvalidation)
0.4
Cross-validation details (10 times 10-fold Crossvalidation)
0.3941
Cross-validation details (10 times 10-fold Crossvalidation)
0.9853
Cross-validation details (10 times 10-fold Crossvalidation)
1313.5052
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)