Run
5091894

Run 5091894

Task 53 (Supervised Classification) vehicle Uploaded 09-07-2017 by Miguel Cachada
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Flow

weka.FilteredClassifier_AttributeSelectedClassifier_END_ND_J48(1)Weka implementation of FilteredClassifier
weka.J48(38)_C0.25
weka.J48(38)_M2
weka.END_ND_J48(5)_S1
weka.END_ND_J48(5)_I10
weka.END_ND_J48(5)_Wweka.classifiers.meta.nestedDichotomies.ND
weka.ND_J48(5)_S1
weka.ND_J48(5)_Wweka.classifiers.trees.J48
weka.FilteredClassifier_AttributeSelectedClassifier_END_ND_J48(1)_Fweka.filters.unsupervised.attribute.Standardize
weka.FilteredClassifier_AttributeSelectedClassifier_END_ND_J48(1)_Wweka.classifiers.meta.AttributeSelectedClassifier
weka.AttributeSelectedClassifier_END_ND_J48(2)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_END_ND_J48(2)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_END_ND_J48(2)_Wweka.classifiers.meta.END

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
0.8956
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6845
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5949
Cross-validation details (10-fold Crossvalidation)
KB relative information score
520.5236
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1784
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3748
Cross-validation details (10-fold Crossvalidation)
Number of instances
846
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.68
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6962
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.9991
Cross-validation details (10-fold Crossvalidation)
Recall
0.6962
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4329
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3052
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.705
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1455.9654
UserCPU time millis
110
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
20
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
90
Cross-validation details (10-fold Crossvalidation)