Run
232487

Run 232487

Task 287 (Supervised Classification) ionosphere 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
0.9578
Per class
Cross-validation details (33% Holdout set)
F measure
0.9111
Per class
Cross-validation details (33% Holdout set)
Kappa
0.7985
Cross-validation details (33% Holdout set)
KB relative information score
89.3738
Cross-validation details (33% Holdout set)
Mean absolute error
0.0944
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4549
Cross-validation details (33% Holdout set)
Number of instances
115
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.915
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.913
Cross-validation details (33% Holdout set)
Prior entropy
0.9425
Cross-validation details (33% Holdout set)
Recall
0.913
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.2075
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4739
Cross-validation details (33% Holdout set)
Root mean squared error
0.2408
Cross-validation details (33% Holdout set)
Root relative squared error
0.5082
Cross-validation details (33% Holdout set)
SciMark benchmark
1367.8403
UserCPU time millis
120
Cross-validation details (33% Holdout set)
UserCPU time millis training
120
Cross-validation details (33% Holdout set)