Run
436840

Run 436840

Task 89 (Learning Curve) page-blocks 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
0.9493 ± 0.0198
Per class
F measure
0.9718 ± 0.0073
Per class
Kappa
0.8516 ± 0.0385
KB relative information score
0.8067 ± 0.0417
Mean absolute error
0.012 ± 0.0027
Mean prior absolute error
0.0762 ± 0.0003
Number of instances
54730
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9716 ± 0.0072
Per class
Predictive accuracy
0.9727 ± 0.0071
Prior entropy
0.6355 ± 0.0053
Recall
0.9727 ± 0.0071
Per class
Relative absolute error
0.1573 ± 0.035
Root mean prior squared error
0.1948 ± 0.0007
Root mean squared error
0.0982 ± 0.0126
Root relative squared error
0.5039 ± 0.0648
SciMark benchmark
942.1241
UserCPU time millis
3540
UserCPU time millis testing
30
UserCPU time millis training
3510