Run
503674

Run 503674

Task 10084 (Learning Curve) profb Uploaded 29-12-2015 by Joaquin Vanschoren
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Flow

weka.FURIA(2)Jens Christian Huehn, Eyke Huellermeier (2009). FURIA: An Algorithm for Unordered Fuzzy Rule Induction. Data Mining and Knowledge Discovery..
weka.FURIA(2)_F3
weka.FURIA(2)_N2.0
weka.FURIA(2)_O2
weka.FURIA(2)_S1
weka.FURIA(2)_s0
weka.FURIA(2)_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
0.6047 ± 0.0482
Per class
F measure
0.6592 ± 0.049
Per class
Kappa
0.2113 ± 0.1084
KB relative information score
151.2306 ± 5.3292
Mean absolute error
0.3286 ± 0.0362
Mean prior absolute error
0.4446 ± 0.0026
Number of instances
672
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6589 ± 0.0466
Per class
Predictive accuracy
0.6815 ± 0.0392
Prior entropy
0.9188
Recall
0.6815 ± 0.0392
Per class
Relative absolute error
0.739 ± 0.0792
Root mean prior squared error
0.4714 ± 0.0027
Root mean squared error
0.5527 ± 0.0327
Root relative squared error
1.1724 ± 0.0678
SciMark benchmark
943.5627
UserCPU time millis
170
UserCPU time millis training
170