Run
436833

Run 436833

Task 96 (Learning Curve) diabetes 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
0.7327 ± 0.0592
Per class
F measure
0.7427 ± 0.0471
Per class
Kappa
0.4229 ± 0.107
KB relative information score
0.4246 ± 0.1003
Mean absolute error
0.2514 ± 0.0436
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
7680
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7442 ± 0.0496
Per class
Predictive accuracy
0.7513 ± 0.0434
Prior entropy
0.9331 ± 0.0044
Recall
0.7513 ± 0.0434
Per class
Relative absolute error
0.5532 ± 0.0961
Root mean prior squared error
0.4766 ± 0.0015
Root mean squared error
0.4762 ± 0.0454
Root relative squared error
0.999 ± 0.0952
SciMark benchmark
944.3124
UserCPU time millis
120
UserCPU time millis training
120