Run
5051646

Run 5051646

Task 2076 (Supervised Classification) kropt Uploaded 09-07-2017 by Miguel Cachada
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Flow

weka.FilteredClassifier_AttributeSelectedClassifier_Dagging_DecisionStump(1 )Weka implementation of FilteredClassifier
weka.Dagging_DecisionStump(5)_F10
weka.Dagging_DecisionStump(5)_S1
weka.Dagging_DecisionStump(5)_Wweka.classifiers.trees.DecisionStump
weka.FilteredClassifier_AttributeSelectedClassifier_Dagging_DecisionStump(1)_Fweka.filters.unsupervised.attribute.Standardize
weka.FilteredClassifier_AttributeSelectedClassifier_Dagging_DecisionStump(1)_Wweka.classifiers.meta.AttributeSelectedClassifier
weka.AttributeSelectedClassifier_Dagging_DecisionStump(2)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_Dagging_DecisionStump(2)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_Dagging_DecisionStump(2)_Wweka.classifiers.meta.Dagging

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
0.6564
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.1185
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0864
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2428.685
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0977
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
0.0828
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.2205
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.5053
Cross-validation details (10-fold Crossvalidation)
Recall
0.2205
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9814
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2231
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2201
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9866
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1588.9234
UserCPU time millis
60
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
40
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
20
Cross-validation details (10-fold Crossvalidation)