Run
2042194

Run 2042194

Task 145682 (Supervised Classification) spectrometer Uploaded 16-04-2017 by Claire Claassen
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.FilteredClassifier_FilteredClassifier_FilteredClassifier_IBk(1)Weka implementation of FilteredClassifier
weka.IBk(11)_K5
weka.IBk(11)_W0
weka.IBk(11)_Atrue
weka.FilteredClassifier_IBk(1)_Fweka.filters.supervised.attribute.AttributeSelection -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5"
weka.FilteredClassifier_IBk(1)_Wweka.classifiers.lazy.IBk
weka.FilteredClassifier_FilteredClassifier_FilteredClassifier_IBk(1)_Fweka.filters.unsupervised.attribute.Normalize -S 1.0 -T 0.0
weka.FilteredClassifier_FilteredClassifier_FilteredClassifier_IBk(1)_Wweka.classifiers.meta.FilteredClassifier
weka.FilteredClassifier_FilteredClassifier_IBk(1)_Fweka.filters.unsupervised.attribute.ClassAssigner -C 2
weka.FilteredClassifier_FilteredClassifier_IBk(1)_Wweka.classifiers.meta.FilteredClassifier

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
0.9069
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5222
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5257
Cross-validation details (10-fold Crossvalidation)
KB relative information score
323.7545
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0217
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
0.5109
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5518
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.8467
Cross-validation details (10-fold Crossvalidation)
Recall
0.5518
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5477
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1406
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1104
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7854
Cross-validation details (10-fold Crossvalidation)