Run
5051506

Run 5051506

Task 2075 (Supervised Classification) abalone 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
0.6686
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.1391
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0973
Cross-validation details (10-fold Crossvalidation)
KB relative information score
577.6254
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0595
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0618
Cross-validation details (10-fold Crossvalidation)
Number of instances
4177
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.131
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.2212
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.6268
Cross-validation details (10-fold Crossvalidation)
Recall
0.2212
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9632
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1757
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1722
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9798
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1481.6266
UserCPU time millis
50
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
40
Cross-validation details (10-fold Crossvalidation)