Run
2040474

Run 2040474

Task 145682 (Supervised Classification) spectrometer Uploaded 11-04-2017 by Wouter Nuijten
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Flow

weka.Vote_AttributeSelectedClassifier(1)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_AttributeSelectedClassifier(1)_RAVG
weka.Vote_AttributeSelectedClassifier(1)_S1
weka.Vote_AttributeSelectedClassifier(1)_Bweka.classifiers.meta.AttributeSelectedClassifier -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W weka.classifiers.bayes.BayesNet -- -D -Q weka.classifiers.bayes.net.search.local.K2 -- -P 1 -S BAYES -E weka.classifiers.bayes.net.estimate.SimpleEstimator -- -A 0.5
weka.Vote_AttributeSelectedClassifier(1)_num-decimal-places7

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
0.9429
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.496
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4954
Cross-validation details (10-fold Crossvalidation)
KB relative information score
285.3595
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0251
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
0.4834
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5235
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.8467
Cross-validation details (10-fold Crossvalidation)
Recall
0.5235
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6325
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1406
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1145
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8144
Cross-validation details (10-fold Crossvalidation)