Run
2345933

Run 2345933

Task 43 (Supervised Classification) spambase Uploaded 25-05-2017 by Miguel Cachada
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Flow

weka.AttributeSelectedClassifier_J48(2)Weka implementation of AttributeSelectedClassifier
weka.J48(38)_C0.01
weka.J48(38)_M20
weka.AttributeSelectedClassifier_J48(2)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_J48(2)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_J48(2)_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
0.9314
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9138
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8189
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3343.2345
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.143
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4776
Cross-validation details (10-fold Crossvalidation)
Number of instances
4601
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.914
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9141
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.9141
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2994
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2733
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5593
Cross-validation details (10-fold Crossvalidation)