Run
225882

Run 225882

Task 4235 (Supervised Classification) re1.wc 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
0.8647
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.6124
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.5583
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
3106.7385
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.0662
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.071
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
16570
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6945
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.5918
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
3.8125
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.5918
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.9323
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.1883
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.1881
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.9991
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
929.0363
UserCPU time millis
13830
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
10580
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
3250
Cross-validation details (10 times 10-fold Crossvalidation)