Run
504308

Run 504308

Task 10086 (Learning Curve) sylva_agnostic Uploaded 31-12-2015 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
0.9863 ± 0.0082
Per class
F measure
0.9925 ± 0.0013
Per class
Kappa
0.935 ± 0.0109
KB relative information score
12751.6979 ± 32.8816
Mean absolute error
0.0093 ± 0.0016
Mean prior absolute error
0.1156 ± 0.0003
Number of instances
14395
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9925 ± 0.0013
Per class
Predictive accuracy
0.9924 ± 0.0012
Prior entropy
0.3338
Recall
0.9924 ± 0.0012
Per class
Relative absolute error
0.0802 ± 0.0142
Root mean prior squared error
0.2403 ± 0.0006
Root mean squared error
0.081 ± 0.008
Root relative squared error
0.3371 ± 0.0332
SciMark benchmark
939.6055
UserCPU time millis
87120
UserCPU time millis testing
70
UserCPU time millis training
87050