Run
278637

Run 278637

Task 3594 (Supervised Classification) analcatdata_supreme 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
0.9887
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9931
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9809
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3958.7804
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0073
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3645
Cross-validation details (10-fold Crossvalidation)
Number of instances
4052
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9931
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9931
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7946
Cross-validation details (10-fold Crossvalidation)
Recall
0.9931
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0201
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4269
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0815
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.191
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1064.8317
UserCPU time millis
410
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
400
Cross-validation details (10-fold Crossvalidation)