Run
269868

Run 269868

Task 284 (Supervised Classification) hepatitis Uploaded 06-03-2015 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
0.6792
Per class
Cross-validation details (33% Holdout set)
F measure
0.7049
Per class
Cross-validation details (33% Holdout set)
Kappa
0.1707
Cross-validation details (33% Holdout set)
KB relative information score
16.8144
Cross-validation details (33% Holdout set)
Mean absolute error
0.2289
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.3579
Cross-validation details (33% Holdout set)
Number of instances
51
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7443
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.7647
Cross-validation details (33% Holdout set)
Prior entropy
0.7418
Cross-validation details (33% Holdout set)
Recall
0.7647
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.6394
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4381
Cross-validation details (33% Holdout set)
Root mean squared error
0.4433
Cross-validation details (33% Holdout set)
Root relative squared error
1.0118
Cross-validation details (33% Holdout set)
SciMark benchmark
943.1756
UserCPU time millis
30
Cross-validation details (33% Holdout set)
UserCPU time millis training
30
Cross-validation details (33% Holdout set)