Run
436812

Run 436812

Task 72 (Learning Curve) breast-cancer 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
0.6115 ± 0.0898
Per class
F measure
0.6978 ± 0.0768
Per class
Kappa
0.244 ± 0.1863
KB relative information score
0.2826 ± 0.1546
Mean absolute error
0.2802 ± 0.0602
Mean prior absolute error
0.4183 ± 0.0065
Number of instances
2860
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.71 ± 0.0997
Per class
Predictive accuracy
0.7329 ± 0.0645
Prior entropy
0.8779 ± 0.0199
Recall
0.7329 ± 0.0645
Per class
Relative absolute error
0.6698 ± 0.142
Root mean prior squared error
0.457 ± 0.0071
Root mean squared error
0.508 ± 0.0614
Root relative squared error
1.1116 ± 0.1309
SciMark benchmark
923.2201
UserCPU time millis
20
UserCPU time millis training
20