Run
3951574

Run 3951574

Task 30 (Supervised Classification) page-blocks 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
0.9428
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9438
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6978
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2511.9859
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0486
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0762
Cross-validation details (10-fold Crossvalidation)
Number of instances
5473
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.9463
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9439
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6391
Cross-validation details (10-fold Crossvalidation)
Recall
0.9439
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6377
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1949
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1399
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7181
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1394.2547
UserCPU time millis
530
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
130
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
400
Cross-validation details (10-fold Crossvalidation)