Run
225214

Run 225214

Task 2272 (Supervised Classification) meta_all.arff Uploaded 01-03-2015 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
0.6764
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4735
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2704
Cross-validation details (10-fold Crossvalidation)
KB relative information score
5.417
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2299
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2065
Cross-validation details (10-fold Crossvalidation)
Number of instances
71
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
0.5963
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4507
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.9094
Cross-validation details (10-fold Crossvalidation)
Recall
0.4507
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.1133
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.317
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3884
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2254
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
876.0664
UserCPU time millis
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
UserCPU time millis training
Cross-validation details (10-fold Crossvalidation)