Run
4139735

Run 4139735

Task 33 (Supervised Classification) cylinder-bands Uploaded 05-07-2017 by Miguel Cachada
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Flow

weka.FilteredClassifier_AttributeSelectedClassifier_Bagging_OneR(1)Weka implementation of FilteredClassifier
weka.OneR(20)_B6
weka.Bagging_OneR(14)_P100
weka.Bagging_OneR(14)_S1
weka.Bagging_OneR(14)_num-slots1
weka.Bagging_OneR(14)_I10
weka.Bagging_OneR(14)_Wweka.classifiers.rules.OneR
weka.FilteredClassifier_AttributeSelectedClassifier_Bagging_OneR(1)_Fweka.filters.unsupervised.attribute.Standardize
weka.FilteredClassifier_AttributeSelectedClassifier_Bagging_OneR(1)_Wweka.classifiers.meta.AttributeSelectedClassifier
weka.AttributeSelectedClassifier_Bagging_OneR(2)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_Bagging_OneR(2)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_Bagging_OneR(2)_Wweka.classifiers.meta.Bagging

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
0.6376
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4129
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0576
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-33.4538
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.5106
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
0.5808
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4778
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9826
Cross-validation details (10-fold Crossvalidation)
Recall
0.4778
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.0463
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4939
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.6744
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.3655
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1328.08
UserCPU time millis
90
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
80
Cross-validation details (10-fold Crossvalidation)