Run
277625

Run 277625

Task 4592 (Supervised Classification) analcatdata_germangss Uploaded 07-03-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.9042
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8842
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.6562
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
2515.5677
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1139
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.3495
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
4000
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
0.8851
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.889
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.7716
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.889
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.3258
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4176
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.2942
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.7045
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
885.0921
UserCPU time millis
150
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
10
UserCPU time millis training
140
Cross-validation details (10 times 10-fold Crossvalidation)