Run
436852

Run 436852

Task 116 (Learning Curve) ionosphere 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
0.9174 ± 0.0526
Per class
F measure
0.9058 ± 0.0489
Per class
Kappa
0.7935 ± 0.1082
KB relative information score
0.7662 ± 0.0939
Mean absolute error
0.106 ± 0.0419
Mean prior absolute error
0.4604 ± 0.0038
Number of instances
3510
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9068 ± 0.0469
Per class
Predictive accuracy
0.9068 ± 0.0474
Prior entropy
0.9418 ± 0.0113
Recall
0.9068 ± 0.0474
Per class
Relative absolute error
0.2303 ± 0.0913
Root mean prior squared error
0.4797 ± 0.004
Root mean squared error
0.2871 ± 0.0726
Root relative squared error
0.5986 ± 0.1517
SciMark benchmark
923.2201
UserCPU time millis
100
UserCPU time millis training
100