Run
436826

Run 436826

Task 88 (Learning Curve) credit-approval 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
0.8803 ± 0.0383
Per class
F measure
0.8589 ± 0.0401
Per class
Kappa
0.7146 ± 0.0811
KB relative information score
0.7109 ± 0.0773
Mean absolute error
0.1422 ± 0.038
Mean prior absolute error
0.494 ± 0.0007
Number of instances
6900
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8592 ± 0.0409
Per class
Predictive accuracy
0.8587 ± 0.0401
Prior entropy
0.9912 ± 0.0021
Recall
0.8587 ± 0.0401
Per class
Relative absolute error
0.2879 ± 0.0769
Root mean prior squared error
0.497 ± 0.0007
Root mean squared error
0.3556 ± 0.0502
Root relative squared error
0.7156 ± 0.1012
SciMark benchmark
942.1241
UserCPU time millis
140
UserCPU time millis training
140