Run
2082822

Run 2082822

Task 145682 (Supervised Classification) spectrometer Uploaded 21-04-2017 by Joep Sterk
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Flow

weka.RandomizableFilteredClassifier_Vote_RandomizableFilteredClassifier_Ran domTree(2)Weka implementation of RandomizableFilteredClassifier
weka.RandomizableFilteredClassifier_Vote_RandomizableFilteredClassifier_RandomTree(2)_S1
weka.RandomizableFilteredClassifier_Vote_RandomizableFilteredClassifier_RandomTree(2)_Fweka.filters.unsupervised.attribute.RandomProjection -N 70 -R 1104594127 -D Sparse1
weka.RandomizableFilteredClassifier_Vote_RandomizableFilteredClassifier_RandomTree(2)_Wweka.classifiers.meta.Vote
weka.Vote_RandomizableFilteredClassifier_RandomTree(2)_RAVG
weka.Vote_RandomizableFilteredClassifier_RandomTree(2)_S326293472
weka.Vote_RandomizableFilteredClassifier_RandomTree(2)_Bweka.classifiers.meta.RandomizableFilteredClassifier -S 1 -F "weka.filters.unsupervised.attribute.RandomProjection -N 70 -R 368878365 -D Sparse1" -W weka.classifiers.meta.MultiBoostAB -- -C 3 -Q -P 100 -S -1173283670 -I 200 -W weka.classifiers.trees.RandomTree -- -K 0 -M 1.0 -V 0.01 -S 1 -depth 7
weka.RandomizableFilteredClassifier_RandomTree(2)_W

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
0.9759
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6733
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6795
Cross-validation details (10-fold Crossvalidation)
KB relative information score
357.2292
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0194
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
0.6682
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6968
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.8467
Cross-validation details (10-fold Crossvalidation)
Recall
0.6968
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4899
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1406
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0951
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6765
Cross-validation details (10-fold Crossvalidation)