Run
5090094

Run 5090094

Task 15 (Supervised Classification) breast-w Uploaded 09-07-2017 by Miguel Cachada
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Flow

weka.FilteredClassifier_AttributeSelectedClassifier_END_ND_J48(1)Weka implementation of FilteredClassifier
weka.J48(38)_C0.25
weka.J48(38)_M2
weka.END_ND_J48(5)_S1
weka.END_ND_J48(5)_I10
weka.END_ND_J48(5)_Wweka.classifiers.meta.nestedDichotomies.ND
weka.ND_J48(5)_S1
weka.ND_J48(5)_Wweka.classifiers.trees.J48
weka.FilteredClassifier_AttributeSelectedClassifier_END_ND_J48(1)_Fweka.filters.unsupervised.attribute.Standardize
weka.FilteredClassifier_AttributeSelectedClassifier_END_ND_J48(1)_Wweka.classifiers.meta.AttributeSelectedClassifier
weka.AttributeSelectedClassifier_END_ND_J48(2)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_END_ND_J48(2)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_END_ND_J48(2)_Wweka.classifiers.meta.END

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.

22 Evaluation measures

Area under ROC curve
0.9589
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9458
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8806
Cross-validation details (10-fold Crossvalidation)
KB relative information score
593.6566
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0699
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.452
Cross-validation details (10-fold Crossvalidation)
Number of instances
699
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.9463
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9456
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9297
Cross-validation details (10-fold Crossvalidation)
Recall
0.9456
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1546
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4753
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2204
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4638
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1560.3915
UserCPU time millis
20
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
20
Cross-validation details (10-fold Crossvalidation)