Run
436836

Run 436836

Task 99 (Learning Curve) glass Uploaded 13-05-2015 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
0.8234 ± 0.0656
Per class
F measure
0.6781 ± 0.0782
Per class
Kappa
0.573 ± 0.1288
KB relative information score
0.6076 ± 0.0996
Mean absolute error
0.0946 ± 0.0232
Mean prior absolute error
0.2116 ± 0.0025
Number of instances
2140
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.675 ± 0.0789
Per class
Predictive accuracy
0.6911 ± 0.093
Prior entropy
2.1835 ± 0.0748
Recall
0.6911 ± 0.093
Per class
Relative absolute error
0.447 ± 0.1089
Root mean prior squared error
0.3244 ± 0.0039
Root mean squared error
0.2738 ± 0.0405
Root relative squared error
0.8439 ± 0.1232
SciMark benchmark
944.3124
UserCPU time millis
50
UserCPU time millis training
50