Run
277553

Run 277553

Task 3054 (Supervised Classification) monks-problems-2 Uploaded 07-03-2015 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
0.4908
Per class
Cross-validation details (33% Holdout set)
F measure
0.4886
Per class
Cross-validation details (33% Holdout set)
KB relative information score
32.1283
Cross-validation details (33% Holdout set)
Mean absolute error
0.3737
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4588
Cross-validation details (33% Holdout set)
Number of instances
198
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.3986
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.6313
Cross-validation details (33% Holdout set)
Prior entropy
0.9279
Cross-validation details (33% Holdout set)
Recall
0.6313
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.8144
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4831
Cross-validation details (33% Holdout set)
Root mean squared error
0.6067
Cross-validation details (33% Holdout set)
Root relative squared error
1.2558
Cross-validation details (33% Holdout set)
SciMark benchmark
1327.2954
UserCPU time millis
120
Cross-validation details (33% Holdout set)
UserCPU time millis testing
10
UserCPU time millis training
110
Cross-validation details (33% Holdout set)