Run
2340407

Run 2340407

Task 3814 (Supervised Classification) arsenic-male-lung 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
1
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
1
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
1
Cross-validation details (10-fold Crossvalidation)
KB relative information score
528.8364
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0001
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0471
Cross-validation details (10-fold Crossvalidation)
Number of instances
559
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
1
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
1
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1684
Cross-validation details (10-fold Crossvalidation)
Recall
1
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0015
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1507
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0003
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.0022
Cross-validation details (10-fold Crossvalidation)