Run
241422

Run 241422

Task 4545 (Supervised Classification) letter 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
0.9599
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.7774
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.1409
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
-2458167.2311
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.4168
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.078
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
200000
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
0.9639
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.6825
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.2455
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.6825
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
5.3413
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.1975
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4283
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
2.1688
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1315.1549
UserCPU time millis
110
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
90
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
20
Cross-validation details (10 times 10-fold Crossvalidation)