Run
3828102

Run 3828102

Task 43 (Supervised Classification) spambase Uploaded 03-07-2017 by Miguel Cachada
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Flow

weka.FilteredClassifier_AttributeSelectedClassifier_HoeffdingTree(1)Weka implementation of FilteredClassifier
weka.HoeffdingTree(6)_L2
weka.HoeffdingTree(6)_S1
weka.HoeffdingTree(6)_E1.0E-7
weka.HoeffdingTree(6)_H0.05
weka.HoeffdingTree(6)_M0.01
weka.HoeffdingTree(6)_G200.0
weka.HoeffdingTree(6)_N0.0
weka.AttributeSelectedClassifier_HoeffdingTree(2)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_HoeffdingTree(2)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_HoeffdingTree(2)_Wweka.classifiers.trees.HoeffdingTree
weka.FilteredClassifier_AttributeSelectedClassifier_HoeffdingTree(1)_Fweka.filters.unsupervised.attribute.Standardize
weka.FilteredClassifier_AttributeSelectedClassifier_HoeffdingTree(1)_Wweka.classifiers.meta.AttributeSelectedClassifier

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
0.5797
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5866
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1894
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1130.4387
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3625
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4776
Cross-validation details (10-fold Crossvalidation)
Number of instances
4601
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.7773
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6692
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.6692
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.759
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5109
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0456
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1281.6393
UserCPU time millis
240
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
50
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
190
Cross-validation details (10-fold Crossvalidation)