Run
2040447

Run 2040447

Task 145682 (Supervised Classification) spectrometer Uploaded 11-04-2017 by Wouter Nuijten
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Flow

weka.FilteredClassifier_FilteredClassifier_AttributeSelectedClassifier_IBk( 1)Weka implementation of FilteredClassifier
weka.IBk(11)_K3
weka.IBk(11)_W0
weka.IBk(11)_Atrue
weka.AttributeSelectedClassifier_IBk(2)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_IBk(2)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_IBk(2)_Wweka.classifiers.lazy.IBk
weka.FilteredClassifier_FilteredClassifier_AttributeSelectedClassifier_IBk(1)_Fweka.filters.unsupervised.attribute.InterquartileRange -R first-last -O 3.0 -E 6.0
weka.FilteredClassifier_FilteredClassifier_AttributeSelectedClassifier_IBk(1)_Wweka.classifiers.meta.FilteredClassifier
weka.FilteredClassifier_AttributeSelectedClassifier_IBk(1)_Fweka.filters.unsupervised.instance.RemoveWithValues -S 0.0 -C 103 -L 2
weka.FilteredClassifier_AttributeSelectedClassifier_IBk(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.

17 Evaluation measures

Area under ROC curve
0.8741
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5321
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5248
Cross-validation details (10-fold Crossvalidation)
KB relative information score
314.882
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0207
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0396
Cross-validation details (10-fold Crossvalidation)
Number of instances
531
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.5266
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5499
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.8467
Cross-validation details (10-fold Crossvalidation)
Recall
0.5499
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5211
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1406
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1133
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8059
Cross-validation details (10-fold Crossvalidation)