Run
232729

Run 232729

Task 4563 (Supervised Classification) mfeat-zernike Uploaded 02-03-2015 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
0.9745
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.989
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.938
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
18042.9466
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.0128
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.1803
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
20000
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
0.9891
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9892
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.4703
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.9892
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.0707
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.097
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.3235
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
918.6005
UserCPU time millis
1020
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
1010
Cross-validation details (10 times 10-fold Crossvalidation)