Run
241421

Run 241421

Task 4592 (Supervised Classification) analcatdata_germangss Uploaded 02-03-2015 by Joaquin Vanschoren
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Flow

weka.VFI(1)G. Demiroz, A. Guvenir: Classification by voting feature intervals. In: 9th European Conference on Machine Learning, 85-92, 1997.
weka.VFI(1)_B0.6

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
0.9527
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8897
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.7055
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
-491.3177
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.3293
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
0.9084
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.884
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.7716
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.884
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.9421
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
0.3795
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.9088
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
944.4621
UserCPU time millis
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10 times 10-fold Crossvalidation)