Run
3827654

Run 3827654

Task 33 (Supervised Classification) cylinder-bands Uploaded 03-07-2017 by Miguel Cachada
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Flow

weka.FilteredClassifier_AttributeSelectedClassifier_HoeffdingTree(1)Weka implementation of FilteredClassifier
weka.HoeffdingTree(6)_L2
weka.HoeffdingTree(6)_S1
weka.HoeffdingTree(6)_E1.0E-7
weka.HoeffdingTree(6)_H0.05
weka.HoeffdingTree(6)_M0.01
weka.HoeffdingTree(6)_G200.0
weka.HoeffdingTree(6)_N0.0
weka.AttributeSelectedClassifier_HoeffdingTree(2)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_HoeffdingTree(2)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_HoeffdingTree(2)_Wweka.classifiers.trees.HoeffdingTree
weka.FilteredClassifier_AttributeSelectedClassifier_HoeffdingTree(1)_Fweka.filters.unsupervised.attribute.Standardize
weka.FilteredClassifier_AttributeSelectedClassifier_HoeffdingTree(1)_Wweka.classifiers.meta.AttributeSelectedClassifier

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
0.6124
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5187
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0856
Cross-validation details (10-fold Crossvalidation)
KB relative information score
64.5876
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4279
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4879
Cross-validation details (10-fold Crossvalidation)
Number of instances
540
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.5619
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5241
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9826
Cross-validation details (10-fold Crossvalidation)
Recall
0.5241
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8769
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4939
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4707
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9529
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1400.7689
UserCPU time millis
60
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
60
Cross-validation details (10-fold Crossvalidation)