Run
225538

Run 225538

Task 3865 (Supervised Classification) ipums_la_98-small 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
0.8071
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7306
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2454
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-9434.4248
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.27
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1891
Cross-validation details (10-fold Crossvalidation)
Number of instances
7485
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9089
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6665
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.4871
Cross-validation details (10-fold Crossvalidation)
Recall
0.6665
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.4279
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3074
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3632
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1815
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1339.4189
UserCPU time millis
110
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
100
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
10
Cross-validation details (10-fold Crossvalidation)