Run
279392

Run 279392

Task 4405 (Supervised Classification) analcatdata_vehicle 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
0.8395
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8295
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.6544
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
310.5341
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1725
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4925
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
480
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8303
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.8292
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9896
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.8292
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.3504
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4961
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4041
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.8145
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
929.0363
UserCPU time millis
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10 times 10-fold Crossvalidation)