Run
2340208

Run 2340208

Task 3710 (Supervised Classification) fri_c0_1000_10 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
0.9398
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.86
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.72
Cross-validation details (10-fold Crossvalidation)
KB relative information score
481.7693
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2813
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4998
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.86
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.86
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9998
Cross-validation details (10-fold Crossvalidation)
Recall
0.86
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5628
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4999
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3358
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6717
Cross-validation details (10-fold Crossvalidation)