Run
279430

Run 279430

Task 4462 (Supervised Classification) rabe_148 Uploaded 07-03-2015 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

Area under ROC curve
0.9546
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.947
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.8939
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
585.9321
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.056
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
660
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9473
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.947
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.947
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.112
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.2271
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.4542
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1350.4702
UserCPU time millis
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10 times 10-fold Crossvalidation)