Run
436832

Run 436832

Task 94 (Learning Curve) dermatology 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
0.9831 ± 0.0162
Per class
F measure
0.9363 ± 0.0432
Per class
Kappa
0.9207 ± 0.0562
KB relative information score
0.9204 ± 0.0382
Mean absolute error
0.0268 ± 0.0112
Mean prior absolute error
0.2664 ± 0.0004
Number of instances
3660
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.937 ± 0.0368
Per class
Predictive accuracy
0.9369 ± 0.0444
Prior entropy
2.4327 ± 0.0089
Recall
0.9369 ± 0.0444
Per class
Relative absolute error
0.1005 ± 0.0419
Root mean prior squared error
0.3649 ± 0.0006
Root mean squared error
0.1295 ± 0.038
Root relative squared error
0.3549 ± 0.1042
SciMark benchmark
944.3124
UserCPU time millis
70
UserCPU time millis training
70