Run
2070679

Run 2070679

Task 145682 (Supervised Classification) spectrometer Uploaded 19-04-2017 by Freek Rooks
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Flow

weka.FilteredClassifier_RandomizableFilteredClassifier_Vote_SMO(1)Weka implementation of FilteredClassifier
weka.RandomizableFilteredClassifier_Vote_SMO(1)_S1
weka.RandomizableFilteredClassifier_Vote_SMO(1)_Fweka.filters.unsupervised.attribute.RandomProjection -N 49 -R 42 -D Sparse1
weka.RandomizableFilteredClassifier_Vote_SMO(1)_Wweka.classifiers.meta.Vote
weka.Vote_SMO(1)_RAVG
weka.Vote_SMO(1)_S1
weka.Vote_SMO(1)_Bweka.classifiers.functions.SMO -C 7700.0 -L 0.001 -P 1.0E-12 -N 0 -M -V -1 -W 1 -K "weka.classifiers.functions.supportVector.RBFKernel -G 0.009 -C 250007" -calibrator "weka.classifiers.meta.LogitBoost -Q -L -1.7976931348623157E308 -H 1.0 -Z 3.0 -O 1 -E 1 -S 1 -I 3 -W weka.classifiers.trees.DecisionStump"
weka.FilteredClassifier_RandomizableFilteredClassifier_Vote_SMO(1)_Fweka.filters.unsupervised.attribute.Remove -R 1
weka.FilteredClassifier_RandomizableFilteredClassifier_Vote_SMO(1)_Wweka.classifiers.meta.RandomizableFilteredClassifier

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
0.9701
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6637
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6548
Cross-validation details (10-fold Crossvalidation)
KB relative information score
306.1751
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.027
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
0.6636
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6723
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.8467
Cross-validation details (10-fold Crossvalidation)
Recall
0.6723
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6821
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1406
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1077
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7657
Cross-validation details (10-fold Crossvalidation)