Run
225731

Run 225731

Task 4416 (Supervised Classification) elevators 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
0.532
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.5964
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.0613
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
-47330.3681
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.4955
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4271
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
165990
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
0.7767
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.7045
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.8921
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.7045
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
1.1603
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4621
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4968
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
1.0751
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
938.343
UserCPU time millis
130
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
120
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
10
Cross-validation details (10 times 10-fold Crossvalidation)