Run
225475

Run 225475

Task 3800 (Supervised Classification) fri_c3_500_50 Uploaded 01-03-2015 by Jan van Rijn
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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
0.5504
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4866
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0676
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.5418
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4878
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4918
Cross-validation details (10-fold Crossvalidation)
Number of instances
500
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.5544
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.508
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9882
Cross-validation details (10-fold Crossvalidation)
Recall
0.508
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9918
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4959
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5352
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0792
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1339.4189
UserCPU time millis
10
UserCPU time millis testing
10
UserCPU time millis training