Run
5177012

Run 5177012

Task 2079 (Supervised Classification) eucalyptus Uploaded 10-07-2017 by Miguel Cachada
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Flow

weka.FilteredClassifier_AttributeSelectedClassifier_CVParameterSelection_Ze roR(1)Weka implementation of FilteredClassifier
weka.CVParameterSelection_ZeroR(6)_X10
weka.CVParameterSelection_ZeroR(6)_S1
weka.CVParameterSelection_ZeroR(6)_Wweka.classifiers.rules.ZeroR
weka.FilteredClassifier_AttributeSelectedClassifier_CVParameterSelection_ZeroR(1)_Fweka.filters.unsupervised.attribute.Standardize
weka.FilteredClassifier_AttributeSelectedClassifier_CVParameterSelection_ZeroR(1)_Wweka.classifiers.meta.AttributeSelectedClassifier
weka.AttributeSelectedClassifier_CVParameterSelection_ZeroR(2)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_CVParameterSelection_ZeroR(2)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_CVParameterSelection_ZeroR(2)_Wweka.classifiers.meta.CVParameterSelection

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
0.4933
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.131
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.3581
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3132
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3132
Cross-validation details (10-fold Crossvalidation)
Number of instances
736
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.0845
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.2908
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.2629
Cross-validation details (10-fold Crossvalidation)
Recall
0.2908
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3957
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3957
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1357.9587
UserCPU time millis
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
10
Cross-validation details (10-fold Crossvalidation)