Run
2081337

Run 2081337

Task 145682 (Supervised Classification) spectrometer Uploaded 20-04-2017 by Casper Timmermans
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Flow

weka.Vote_RandomizableFilteredClassifier(2)Ludmila I. Kuncheva (2004). Combining Pattern Classifiers: Methods and Algorithms. John Wiley and Sons, Inc.. J. Kittler, M. Hatef, Robert P.W. Duin, J. Matas (1998). On combining classifiers. IEEE Transactions on Pattern Analysis and Machine Intelligence. 20(3):226-239.
weka.Vote_RandomizableFilteredClassifier(2)_RAVG
weka.Vote_RandomizableFilteredClassifier(2)_S1
weka.Vote_RandomizableFilteredClassifier(2)_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
0.739
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4979
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4792
Cross-validation details (10-fold Crossvalidation)
KB relative information score
234.7724
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0224
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
0.4965
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5066
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.8467
Cross-validation details (10-fold Crossvalidation)
Recall
0.5066
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5652
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1406
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1373
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9764
Cross-validation details (10-fold Crossvalidation)