Run
1673161

Run 1673161

Task 34537 (Supervised Classification) PhishingWebsites Uploaded 21-07-2016 by Jan van Rijn
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Flow

weka.AttributeSelectedClassifier_J48(1)Weka implementation of AttributeSelectedClassifier
weka.J48(33)_C0.25
weka.J48(33)_M2
weka.AttributeSelectedClassifier_J48(1)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_J48(1)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_J48(1)_Wweka.classifiers.trees.J48

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
0.978
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9422
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8827
Cross-validation details (10-fold Crossvalidation)
KB relative information score
9229.3533
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0879
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4935
Cross-validation details (10-fold Crossvalidation)
Number of instances
11055
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9424
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9423
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9906
Cross-validation details (10-fold Crossvalidation)
Recall
0.9423
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1781
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4967
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2141
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.431
Cross-validation details (10-fold Crossvalidation)