Run
547878

Run 547878

Task 3812 (Supervised Classification) arsenic-female-bladder Uploaded 05-04-2016 by Martijn Post
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Flow

weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_IBk(3)Weka implementation of AttributeSelectedClassifier
weka.IBk(7)_K2
weka.IBk(7)_W0
weka.IBk(7)_Atrue
weka.CfsSubsetEval(5)_P1
weka.CfsSubsetEval(5)_E1
weka.BestFirst(4)_D1
weka.BestFirst(4)_N5
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_IBk(3)_Eweka.attributeSelection.CfsSubsetEval
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_IBk(3)_Sweka.attributeSelection.BestFirst
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_IBk(3)_Wweka.classifiers.lazy.IBk

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
0.681
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8261
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1999
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.8529
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1831
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2462
Cross-validation details (10-fold Crossvalidation)
Number of instances
559
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_66, amd64, Windows 10, 10.0]
Precision
0.8219
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8569
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5956
Cross-validation details (10-fold Crossvalidation)
Recall
0.8569
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7438
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3502
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3697
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0557
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1840.6094