Run
2340164

Run 2340164

Task 3691 (Supervised Classification) sensory 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
0.644
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6232
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2184
Cross-validation details (10-fold Crossvalidation)
KB relative information score
61.6977
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4395
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4856
Cross-validation details (10-fold Crossvalidation)
Number of instances
576
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6255
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6337
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9792
Cross-validation details (10-fold Crossvalidation)
Recall
0.6337
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9051
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4927
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4774
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9689
Cross-validation details (10-fold Crossvalidation)