Run
269876

Run 269876

Task 265 (Supervised Classification) dermatology 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
0.983
Per class
Cross-validation details (33% Holdout set)
F measure
0.924
Per class
Cross-validation details (33% Holdout set)
Kappa
0.9048
Cross-validation details (33% Holdout set)
KB relative information score
108.4801
Cross-validation details (33% Holdout set)
Mean absolute error
0.0269
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.2653
Cross-validation details (33% Holdout set)
Number of instances
120
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9288
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.925
Cross-validation details (33% Holdout set)
Prior entropy
2.4378
Cross-validation details (33% Holdout set)
Recall
0.925
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.1013
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3633
Cross-validation details (33% Holdout set)
Root mean squared error
0.1318
Cross-validation details (33% Holdout set)
Root relative squared error
0.3627
Cross-validation details (33% Holdout set)
SciMark benchmark
833.3193
UserCPU time millis
60
Cross-validation details (33% Holdout set)
UserCPU time millis training
60
Cross-validation details (33% Holdout set)