Run
2083495

Run 2083495

Task 145682 (Supervised Classification) spectrometer Uploaded 22-04-2017 by Frank Ritchi
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Flow

weka.RandomizableFilteredClassifier_Vote_RandomizableFilteredClassifier(1)Weka implementation of RandomizableFilteredClassifier
weka.RandomizableFilteredClassifier_Vote_RandomizableFilteredClassifier(1)_S212
weka.RandomizableFilteredClassifier_Vote_RandomizableFilteredClassifier(1)_Fweka.filters.unsupervised.attribute.RandomProjection -N 10 -R 42 -D Sparse1
weka.RandomizableFilteredClassifier_Vote_RandomizableFilteredClassifier(1)_Wweka.classifiers.meta.Vote
weka.Vote_RandomizableFilteredClassifier(1)_RAVG
weka.Vote_RandomizableFilteredClassifier(1)_S24
weka.Vote_RandomizableFilteredClassifier(1)_Bweka.classifiers.meta.RandomizableFilteredClassifier -S 1 -F "weka.filters.unsupervised.attribute.RandomProjection -N 10 -R 42 -D Sparse1" -W weka.classifiers.lazy.IBk -- -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\""

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
0.7846
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4287
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4058
Cross-validation details (10-fold Crossvalidation)
KB relative information score
245.1501
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0243
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
0.4303
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4369
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.8467
Cross-validation details (10-fold Crossvalidation)
Recall
0.4369
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6127
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1406
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1309
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.931
Cross-validation details (10-fold Crossvalidation)