Run
436823

Run 436823

Task 86 (Learning Curve) colic 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
0.8459 ± 0.0634
Per class
F measure
0.8368 ± 0.0634
Per class
Kappa
0.6466 ± 0.1357
KB relative information score
0.6373 ± 0.1189
Mean absolute error
0.1644 ± 0.0535
Mean prior absolute error
0.4662 ± 0.0029
Number of instances
3680
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8375 ± 0.0609
Per class
Predictive accuracy
0.8389 ± 0.0604
Prior entropy
0.9503 ± 0.0087
Recall
0.8389 ± 0.0604
Per class
Relative absolute error
0.3528 ± 0.1145
Root mean prior squared error
0.4827 ± 0.0031
Root mean squared error
0.3806 ± 0.0713
Root relative squared error
0.7884 ± 0.1473
SciMark benchmark
938.1182
UserCPU time millis
60
UserCPU time millis training
60