Run
436831

Run 436831

Task 93 (Learning Curve) postoperative-patient-data 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.

20 Evaluation measures

Area under ROC curve
0.4429 ± 0.1366
Per class
Kappa
-0.0132 ± 0.1241
KB relative information score
0.139 ± 0.2052
Mean absolute error
0.2302 ± 0.0627
Mean prior absolute error
0.2871 ± 0.0196
Number of instances
900
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Predictive accuracy
0.6878 ± 0.0875
Prior entropy
0.983 ± 0.181
Recall
0.6878 ± 0.0875
Per class
Relative absolute error
0.802 ± 0.2057
Root mean prior squared error
0.3755 ± 0.0263
Root mean squared error
0.4573 ± 0.0662
Root relative squared error
1.218 ± 0.1556
SciMark benchmark
944.3124