Run
277633

Run 277633

Task 4617 (Supervised Classification) ar5 Uploaded 07-03-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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

0.8214
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.8586
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.578
Cross-validation details (10 times 10-fold Crossvalidation)
191.4217
Cross-validation details (10 times 10-fold Crossvalidation)
0.1427
Cross-validation details (10 times 10-fold Crossvalidation)
0.3538
Cross-validation details (10 times 10-fold Crossvalidation)
360
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]
0.8575
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.8639
Cross-validation details (10 times 10-fold Crossvalidation)
0.7897
Cross-validation details (10 times 10-fold Crossvalidation)
0.8639
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.4034
Cross-validation details (10 times 10-fold Crossvalidation)
0.416
Cross-validation details (10 times 10-fold Crossvalidation)
0.3519
Cross-validation details (10 times 10-fold Crossvalidation)
0.8459
Cross-validation details (10 times 10-fold Crossvalidation)
854.5188
Cross-validation details (10 times 10-fold Crossvalidation)
Cross-validation details (10 times 10-fold Crossvalidation)