Run
2042183

Run 2042183

Task 145682 (Supervised Classification) spectrometer Uploaded 16-04-2017 by Stilyan Tonchev
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Flow

weka.FilteredClassifier_FilteredClassifier_FilteredClassifier_Vote_RandomFo rest(1)Weka implementation of FilteredClassifier
weka.Vote_RandomForest(3)_RAVG
weka.Vote_RandomForest(3)_S1
weka.Vote_RandomForest(3)_Bweka.classifiers.trees.RandomForest -P 100 -I 1337 -num-slots 1 -K 0 -M 1.0 -V 0.001 -S 1337
weka.FilteredClassifier_FilteredClassifier_FilteredClassifier_Vote_RandomForest(1)_Fweka.filters.unsupervised.attribute.Remove -R 1
weka.FilteredClassifier_FilteredClassifier_FilteredClassifier_Vote_RandomForest(1)_Wweka.classifiers.meta.FilteredClassifier
weka.FilteredClassifier_FilteredClassifier_Vote_RandomForest(1)_Fweka.filters.unsupervised.attribute.Standardize
weka.FilteredClassifier_FilteredClassifier_Vote_RandomForest(1)_Wweka.classifiers.meta.FilteredClassifier
weka.FilteredClassifier_Vote_RandomForest(1)_Fweka.filters.unsupervised.attribute.Remove -R 5
weka.FilteredClassifier_Vote_RandomForest(1)_Wweka.classifiers.meta.Vote

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
0.9553
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5372
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5265
Cross-validation details (10-fold Crossvalidation)
KB relative information score
314.827
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0234
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
0.5309
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5518
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.8467
Cross-validation details (10-fold Crossvalidation)
Recall
0.5518
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5892
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1406
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.108
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7683
Cross-validation details (10-fold Crossvalidation)