Run
2340074

Run 2340074

Task 3655 (Supervised Classification) elusage Uploaded 24-05-2017 by Silvia Nunes
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Flow

weka.AttributeSelectedClassifier_NaiveBayes(2)Weka implementation of AttributeSelectedClassifier
weka.AttributeSelectedClassifier_NaiveBayes(2)_Eweka.attributeSelection.CorrelationAttributeEval
weka.AttributeSelectedClassifier_NaiveBayes(2)_Sweka.attributeSelection.Ranker -T -1.7976931348623157E308 -N -1
weka.AttributeSelectedClassifier_NaiveBayes(2)_Wweka.classifiers.bayes.NaiveBayes

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.

17 Evaluation measures

Area under ROC curve
0.9583
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8909
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7782
Cross-validation details (10-fold Crossvalidation)
KB relative information score
41.4464
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1225
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4922
Cross-validation details (10-fold Crossvalidation)
Number of instances
55
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8909
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8909
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9891
Cross-validation details (10-fold Crossvalidation)
Recall
0.8909
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2488
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4959
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3025
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.61
Cross-validation details (10-fold Crossvalidation)