Run
4308579

Run 4308579

Task 2079 (Supervised Classification) eucalyptus Uploaded 05-07-2017 by Miguel Cachada
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Flow

weka.FilteredClassifier_AttributeSelectedClassifier_LWL_RandomTree(1)Weka implementation of FilteredClassifier
weka.RandomTree(14)_K0
weka.RandomTree(14)_M1.0
weka.RandomTree(14)_V0.001
weka.RandomTree(14)_S1
weka.LWL_RandomTree(4)_Atrue
weka.LWL_RandomTree(4)_K-1
weka.LWL_RandomTree(4)_U0
weka.LWL_RandomTree(4)_Wweka.classifiers.trees.RandomTree
weka.FilteredClassifier_AttributeSelectedClassifier_LWL_RandomTree(1)_Fweka.filters.unsupervised.attribute.Standardize
weka.FilteredClassifier_AttributeSelectedClassifier_LWL_RandomTree(1)_Wweka.classifiers.meta.AttributeSelectedClassifier
weka.AttributeSelectedClassifier_LWL_RandomTree(2)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_LWL_RandomTree(2)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_LWL_RandomTree(2)_Wweka.classifiers.lazy.LWL

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
0.6893
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5073
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3699
Cross-validation details (10-fold Crossvalidation)
KB relative information score
307.4383
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1979
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
0.508
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5068
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.2629
Cross-validation details (10-fold Crossvalidation)
Recall
0.5068
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6318
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3957
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4412
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.115
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1433.8165
UserCPU time millis
3120
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
3120
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10-fold Crossvalidation)