Run
1785524

Run 1785524

Task 9976 (Supervised Classification) madelon Uploaded 25-07-2016 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.FilteredClassifier_J48(1)Weka implementation of FilteredClassifier
weka.J48(33)_C0.25
weka.J48(33)_M2
weka.FilteredClassifier_J48(1)_Fweka.filters.supervised.attribute.Discretize -R first-last -precision 6
weka.FilteredClassifier_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
0.7759
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7057
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4115
Cross-validation details (10-fold Crossvalidation)
KB relative information score
747.7401
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3686
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
2600
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.706
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7058
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.7058
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7373
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.44
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.88
Cross-validation details (10-fold Crossvalidation)