Run
2340383

Run 2340383

Task 3798 (Supervised Classification) fri_c1_250_10 Uploaded 24-05-2017 by Silvia Nunes
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.729
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7159
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4231
Cross-validation details (10-fold Crossvalidation)
KB relative information score
63.0765
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3781
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4929
Cross-validation details (10-fold Crossvalidation)
Number of instances
250
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7157
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.716
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9898
Cross-validation details (10-fold Crossvalidation)
Recall
0.716
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7673
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4964
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4662
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9392
Cross-validation details (10-fold Crossvalidation)