Run
436878

Run 436878

Task 2102 (Learning Curve) eucalyptus Uploaded 13-05-2015 by Joaquin Vanschoren
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  • study_2 study_37 weka weka_3.7.12
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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
0.7992 ± 0.0314
Per class
F measure
0.6097 ± 0.0439
Per class
Kappa
0.5046 ± 0.0542
KB relative information score
0.541 ± 0.0496
Mean absolute error
0.1641 ± 0.0153
Mean prior absolute error
0.3132 ± 0.0002
Number of instances
736
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6137 ± 0.0572
Per class
Predictive accuracy
0.6182 ± 0.0424
Prior entropy
2.2621 ± 0.0043
Recall
0.6182 ± 0.0424
Per class
Relative absolute error
0.5238 ± 0.049
Root mean prior squared error
0.3957 ± 0.0003
Root mean squared error
0.3525 ± 0.0216
Root relative squared error
0.8909 ± 0.0546
SciMark benchmark
944.3124
UserCPU time millis
510
UserCPU time millis training
510