Run
2081167

Run 2081167

Task 145682 (Supervised Classification) spectrometer Uploaded 20-04-2017 by Titus Kervezee
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Flow

weka.MultiSearch_RandomizableFilteredClassifier_RandomizableFilteredClassif ier_BayesNet(1)Weka implementation of MultiSearch
weka.BayesNet(2)_Dtrue
weka.BayesNet(2)_Qweka.classifiers.bayes.net.search.local.K2
weka.RandomizableFilteredClassifier_BayesNet(1)_S1
weka.RandomizableFilteredClassifier_BayesNet(1)_Fweka.filters.unsupervised.attribute.RandomProjection -N 10 -R 42 -D Sparse1
weka.RandomizableFilteredClassifier_BayesNet(1)_Wweka.classifiers.bayes.BayesNet
weka.MultiSearch_RandomizableFilteredClassifier_RandomizableFilteredClassifier_BayesNet(1)_ECC
weka.MultiSearch_RandomizableFilteredClassifier_RandomizableFilteredClassifier_BayesNet(1)_class-label1
weka.MultiSearch_RandomizableFilteredClassifier_RandomizableFilteredClassifier_BayesNet(1)_search[weka.core.setupgenerator.MathParameter -property ridge -min -10.0 -max 5.0 -step 1.0 -base 10.0 -expression pow(BASE,I)]
weka.MultiSearch_RandomizableFilteredClassifier_RandomizableFilteredClassifier_BayesNet(1)_algorithmweka.classifiers.meta.multisearch.DefaultSearch -sample-size 100.0 -initial-folds 2 -subsequent-folds 10 -initial-test-set . -subsequent-test-set . -num-slots 1 -num-slots 1
weka.MultiSearch_RandomizableFilteredClassifier_RandomizableFilteredClassifier_BayesNet(1)_log-fileC:\Program Files\Weka-3-8
weka.MultiSearch_RandomizableFilteredClassifier_RandomizableFilteredClassifier_BayesNet(1)_S1
weka.MultiSearch_RandomizableFilteredClassifier_RandomizableFilteredClassifier_BayesNet(1)_Wweka.classifiers.meta.RandomizableFilteredClassifier
weka.RandomizableFilteredClassifier_RandomizableFilteredClassifier_BayesNet(1)_S1
weka.RandomizableFilteredClassifier_RandomizableFilteredClassifier_BayesNet(1)_Fweka.filters.unsupervised.attribute.RandomProjection -N 50 -R 42 -D Sparse1
weka.RandomizableFilteredClassifier_RandomizableFilteredClassifier_BayesNet(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.

arff
Trace

ARFF file with the trace of all hyperparameter settings tried during optimization, and their performance.

17 Evaluation measures

Area under ROC curve
0.9292
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4369
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4285
Cross-validation details (10-fold Crossvalidation)
KB relative information score
260.0216
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0241
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
0.4265
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4595
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.8467
Cross-validation details (10-fold Crossvalidation)
Recall
0.4595
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6076
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1406
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1259
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8954
Cross-validation details (10-fold Crossvalidation)