Run
1673029

Run 1673029

Task 3504 (Supervised Classification) webdata_wXa Uploaded 21-07-2016 by Jan van Rijn
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Flow

weka.AttributeSelectedClassifier_NaiveBayes(1)Weka implementation of AttributeSelectedClassifier
weka.AttributeSelectedClassifier_NaiveBayes(1)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_NaiveBayes(1)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_NaiveBayes(1)_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
0.8505
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8053
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4802
Cross-validation details (10-fold Crossvalidation)
KB relative information score
11150.5789
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2292
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3648
Cross-validation details (10-fold Crossvalidation)
Number of instances
36974
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8118
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8009
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7951
Cross-validation details (10-fold Crossvalidation)
Recall
0.8009
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6283
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4271
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3801
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8899
Cross-validation details (10-fold Crossvalidation)