Run
232484

Run 232484

Task 277 (Supervised Classification) tae Uploaded 02-03-2015 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
0.6135
Per class
Cross-validation details (33% Holdout set)
F measure
0.4695
Per class
Cross-validation details (33% Holdout set)
Kappa
0.2344
Cross-validation details (33% Holdout set)
KB relative information score
14.146
Cross-validation details (33% Holdout set)
Mean absolute error
0.3513
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4445
Cross-validation details (33% Holdout set)
Number of instances
49
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.5738
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.4898
Cross-validation details (33% Holdout set)
Prior entropy
1.5845
Cross-validation details (33% Holdout set)
Recall
0.4898
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.7903
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4715
Cross-validation details (33% Holdout set)
Root mean squared error
0.5659
Cross-validation details (33% Holdout set)
Root relative squared error
1.2003
Cross-validation details (33% Holdout set)
SciMark benchmark
1331.6907
UserCPU time millis
20
Cross-validation details (33% Holdout set)
UserCPU time millis training
20
Cross-validation details (33% Holdout set)