Run
3953058

Run 3953058

Task 2076 (Supervised Classification) kropt 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
0.8115
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.332
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2749
Cross-validation details (10-fold Crossvalidation)
KB relative information score
8822.3049
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0867
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0995
Cross-validation details (10-fold Crossvalidation)
Number of instances
28056
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.3341
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.3606
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.5053
Cross-validation details (10-fold Crossvalidation)
Recall
0.3606
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8709
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2231
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2061
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.924
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1484.7625
UserCPU time millis
660
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
320
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
340
Cross-validation details (10-fold Crossvalidation)