Run
263961

Run 263961

Task 3794 (Supervised Classification) disclosure_z Uploaded 05-03-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.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
0.5104
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.3456
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0201
Cross-validation details (10-fold Crossvalidation)
KB relative information score
4.1418
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4955
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4987
Cross-validation details (10-fold Crossvalidation)
Number of instances
662
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5955
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4864
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9981
Cross-validation details (10-fold Crossvalidation)
Recall
0.4864
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9936
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4993
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.499
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9993
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
923.6051
UserCPU time millis
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10-fold Crossvalidation)