Run
279452

Run 279452

Task 4493 (Supervised Classification) visualizing_galaxy 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
0.9589
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9415
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.8822
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
2833.0453
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.061
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4965
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
3230
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9415
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9415
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.995
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.9415
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.1229
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4983
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.224
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.4495
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1350.4702
UserCPU time millis
20
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
20
Cross-validation details (10 times 10-fold Crossvalidation)