Run
3951752

Run 3951752

Task 33 (Supervised Classification) cylinder-bands Uploaded 04-07-2017 by Miguel Cachada
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Flow

weka.FilteredClassifier_AttributeSelectedClassifier_AdaBoostM1_NaiveBayes(1 )Weka implementation of FilteredClassifier
weka.AdaBoostM1_NaiveBayes(5)_P100
weka.AdaBoostM1_NaiveBayes(5)_S1
weka.AdaBoostM1_NaiveBayes(5)_I10
weka.AdaBoostM1_NaiveBayes(5)_Wweka.classifiers.bayes.NaiveBayes
weka.FilteredClassifier_AttributeSelectedClassifier_AdaBoostM1_NaiveBayes(1)_Fweka.filters.unsupervised.attribute.Standardize
weka.FilteredClassifier_AttributeSelectedClassifier_AdaBoostM1_NaiveBayes(1)_Wweka.classifiers.meta.AttributeSelectedClassifier
weka.AttributeSelectedClassifier_AdaBoostM1_NaiveBayes(2)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_AdaBoostM1_NaiveBayes(2)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_AdaBoostM1_NaiveBayes(2)_Wweka.classifiers.meta.AdaBoostM1

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
0.7807
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6767
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3379
Cross-validation details (10-fold Crossvalidation)
KB relative information score
195.7275
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3079
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
0.6967
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6926
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9826
Cross-validation details (10-fold Crossvalidation)
Recall
0.6926
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.631
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4939
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5295
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.072
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1405.1028
UserCPU time millis
30
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
20
Cross-validation details (10-fold Crossvalidation)