Run
241426

Run 241426

Task 4224 (Supervised Classification) tr21.wc 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
0.7282
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.5861
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.2746
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
327.5716
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1743
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.1681
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
3360
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
0.6749
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.5527
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
1.5466
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.5527
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
1.037
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.2883
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.3034
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
1.0526
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1341.994
UserCPU time millis
2550
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
1450
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
1100
Cross-validation details (10 times 10-fold Crossvalidation)