Run
3854577

Run 3854577

Task 2076 (Supervised Classification) kropt Uploaded 03-07-2017 by Miguel Cachada
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Flow

weka.FilteredClassifier_AttributeSelectedClassifier_Bagging_J48(1)Weka implementation of FilteredClassifier
weka.J48(38)_C0.25
weka.J48(38)_M2
weka.Bagging_J48(9)_P100
weka.Bagging_J48(9)_S1
weka.Bagging_J48(9)_num-slots1
weka.Bagging_J48(9)_I10
weka.Bagging_J48(9)_Wweka.classifiers.trees.J48
weka.FilteredClassifier_AttributeSelectedClassifier_Bagging_J48(1)_Fweka.filters.unsupervised.attribute.Standardize
weka.FilteredClassifier_AttributeSelectedClassifier_Bagging_J48(1)_Wweka.classifiers.meta.AttributeSelectedClassifier
weka.AttributeSelectedClassifier_Bagging_J48(2)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_Bagging_J48(2)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_Bagging_J48(2)_Wweka.classifiers.meta.Bagging

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
0.921
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5926
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5449
Cross-validation details (10-fold Crossvalidation)
KB relative information score
16792.6024
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0577
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0995
Cross-validation details (10-fold Crossvalidation)
Number of instances
28056
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.5945
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5938
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.5053
Cross-validation details (10-fold Crossvalidation)
Recall
0.5938
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5798
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2231
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1749
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7843
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1520.2954
UserCPU time millis
1580
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
470
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
1110
Cross-validation details (10-fold Crossvalidation)