Run
1673110

Run 1673110

Task 9908 (Supervised Classification) autoUniv-au4-2500 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
0.7554
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6472
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3946
Cross-validation details (10-fold Crossvalidation)
KB relative information score
735.21
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2772
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3794
Cross-validation details (10-fold Crossvalidation)
Number of instances
2500
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6278
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.672
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.3187
Cross-validation details (10-fold Crossvalidation)
Recall
0.672
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7305
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4355
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3968
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.911
Cross-validation details (10-fold Crossvalidation)