Run
232486

Run 232486

Task 289 (Supervised Classification) iris 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
0.9465
Per class
Cross-validation details (33% Holdout set)
F measure
0.9388
Per class
Cross-validation details (33% Holdout set)
Kappa
0.908
Cross-validation details (33% Holdout set)
KB relative information score
41.6878
Cross-validation details (33% Holdout set)
Mean absolute error
0.0787
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4444
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
0.94
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.9388
Cross-validation details (33% Holdout set)
Prior entropy
1.585
Cross-validation details (33% Holdout set)
Recall
0.9388
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.177
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4714
Cross-validation details (33% Holdout set)
Root mean squared error
0.2349
Cross-validation details (33% Holdout set)
Root relative squared error
0.4982
Cross-validation details (33% Holdout set)
SciMark benchmark
1316.7863
UserCPU time millis
10
Cross-validation details (33% Holdout set)
UserCPU time millis training
10
Cross-validation details (33% Holdout set)