Run
436898

Run 436898

Task 2097 (Learning Curve) satimage Uploaded 13-05-2015 by Joaquin Vanschoren
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  • study_2 study_37 weka weka_3.7.12
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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
0.9593 ± 0.0052
Per class
F measure
0.8889 ± 0.0104
Per class
Kappa
0.8673 ± 0.0127
KB relative information score
0.8587 ± 0.0106
Mean absolute error
0.0435 ± 0.0029
Mean prior absolute error
0.2701 ± 0
Number of instances
6430
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8889 ± 0.0106
Per class
Predictive accuracy
0.893 ± 0.0102
Prior entropy
2.4834 ± 0.0009
Recall
0.893 ± 0.0102
Per class
Relative absolute error
0.1612 ± 0.0107
Root mean prior squared error
0.3675 ± 0
Root mean squared error
0.1744 ± 0.0079
Root relative squared error
0.4745 ± 0.0213
SciMark benchmark
942.1241
UserCPU time millis
75040
UserCPU time millis testing
270
UserCPU time millis training
74770