Run
539713

Run 539713

Task 3663 (Supervised Classification) cholesterol Uploaded 22-03-2016 by Martijn Post
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  • study_15 study_20 weka weka_3.7.13
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Flow

weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_HoeffdingTree(3)Weka implementation of AttributeSelectedClassifier
weka.HoeffdingTree(4)_L2
weka.HoeffdingTree(4)_S1
weka.HoeffdingTree(4)_E1.0E-7
weka.HoeffdingTree(4)_H0.05
weka.HoeffdingTree(4)_M0.01
weka.HoeffdingTree(4)_G200.0
weka.HoeffdingTree(4)_N0.0
weka.CfsSubsetEval(5)_P1
weka.CfsSubsetEval(5)_E1
weka.BestFirst(4)_D1
weka.BestFirst(4)_N5
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_HoeffdingTree(3)_Eweka.attributeSelection.CfsSubsetEval
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_HoeffdingTree(3)_Sweka.attributeSelection.BestFirst
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_HoeffdingTree(3)_Wweka.classifiers.trees.HoeffdingTree

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
0.5632
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5789
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1487
Cross-validation details (10-fold Crossvalidation)
KB relative information score
10.3885
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4817
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4955
Cross-validation details (10-fold Crossvalidation)
Number of instances
303
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_66, amd64, Windows 7, 6.1]
Precision
0.5799
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5842
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9935
Cross-validation details (10-fold Crossvalidation)
Recall
0.5842
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9723
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4977
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5011
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0068
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1732.2066