Run
436851

Run 436851

Task 73 (Learning Curve) mfeat-fourier 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
0.9249 ± 0.0129
Per class
F measure
0.7788 ± 0.0284
Per class
Kappa
0.7589 ± 0.0301
KB relative information score
0.7805 ± 0.0227
Mean absolute error
0.05 ± 0.0044
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7772 ± 0.0283
Per class
Predictive accuracy
0.783 ± 0.0271
Prior entropy
3.3219
Recall
0.783 ± 0.0271
Per class
Relative absolute error
0.2779 ± 0.0245
Root mean prior squared error
0.3
Root mean squared error
0.1879 ± 0.011
Root relative squared error
0.6265 ± 0.0365
SciMark benchmark
923.2201
UserCPU time millis
14620
UserCPU time millis testing
30
UserCPU time millis training
14590