Run
10154902

Run 10154902

Task 168861 (Supervised Classification) DRSongsLyrics Uploaded 16-03-2019 by Jan van Rijn
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Flow

weka.classifiers.meta.FilteredClassifier(weka.filters.unsupervised.attribut e.StringToWordVector(weka.core.tokenizers.WordTokenizer),weka.classifiers.l azy.IBk(weka.core.neighboursearch.LinearNNSearch(weka.core.EuclideanDistanc e)))(1)Weka implementation.
weka.filters.unsupervised.attribute.StringToWordVector(weka.core.tokenizers.WordTokenizer)(1)_C["false"]
weka.filters.unsupervised.attribute.StringToWordVector(weka.core.tokenizers.WordTokenizer)(1)_R["first-last"]
weka.filters.unsupervised.attribute.StringToWordVector(weka.core.tokenizers.WordTokenizer)(1)_V["false"]
weka.filters.unsupervised.attribute.StringToWordVector(weka.core.tokenizers.WordTokenizer)(1)_W["1000"]
weka.filters.unsupervised.attribute.StringToWordVector(weka.core.tokenizers.WordTokenizer)(1)_prune-rate["-1.0"]
weka.filters.unsupervised.attribute.StringToWordVector(weka.core.tokenizers.WordTokenizer)(1)_T["false"]
weka.filters.unsupervised.attribute.StringToWordVector(weka.core.tokenizers.WordTokenizer)(1)_I["false"]
weka.filters.unsupervised.attribute.StringToWordVector(weka.core.tokenizers.WordTokenizer)(1)_N["0"]
weka.filters.unsupervised.attribute.StringToWordVector(weka.core.tokenizers.WordTokenizer)(1)_L["false"]
weka.filters.unsupervised.attribute.StringToWordVector(weka.core.tokenizers.WordTokenizer)(1)_stemmer["weka.core.stemmers.NullStemmer"]
weka.filters.unsupervised.attribute.StringToWordVector(weka.core.tokenizers.WordTokenizer)(1)_M["1"]
weka.filters.unsupervised.attribute.StringToWordVector(weka.core.tokenizers.WordTokenizer)(1)_O["false"]
weka.filters.unsupervised.attribute.StringToWordVector(weka.core.tokenizers.WordTokenizer)(1)_tokenizer["weka.core.tokenizers.WordTokenizer"]
weka.filters.unsupervised.attribute.StringToWordVector(weka.core.tokenizers.WordTokenizer)(1)_binary-dict["false"]
weka.core.tokenizers.WordTokenizer(1)_delimiters[" \r\n\t.,;:'\"()?!"]
weka.classifiers.meta.FilteredClassifier(weka.filters.unsupervised.attribute.StringToWordVector(weka.core.tokenizers.WordTokenizer),weka.classifiers.lazy.IBk(weka.core.neighboursearch.LinearNNSearch(weka.core.EuclideanDistance)))(1)_F["weka.filters.unsupervised.attribute.StringToWordVector"]
weka.classifiers.meta.FilteredClassifier(weka.filters.unsupervised.attribute.StringToWordVector(weka.core.tokenizers.WordTokenizer),weka.classifiers.lazy.IBk(weka.core.neighboursearch.LinearNNSearch(weka.core.EuclideanDistance)))(1)_doNotCheckForModifiedClassAttribute["false"]
weka.classifiers.meta.FilteredClassifier(weka.filters.unsupervised.attribute.StringToWordVector(weka.core.tokenizers.WordTokenizer),weka.classifiers.lazy.IBk(weka.core.neighboursearch.LinearNNSearch(weka.core.EuclideanDistance)))(1)_S["1"]
weka.classifiers.meta.FilteredClassifier(weka.filters.unsupervised.attribute.StringToWordVector(weka.core.tokenizers.WordTokenizer),weka.classifiers.lazy.IBk(weka.core.neighboursearch.LinearNNSearch(weka.core.EuclideanDistance)))(1)_W["weka.classifiers.lazy.IBk"]
weka.classifiers.meta.FilteredClassifier(weka.filters.unsupervised.attribute.StringToWordVector(weka.core.tokenizers.WordTokenizer),weka.classifiers.lazy.IBk(weka.core.neighboursearch.LinearNNSearch(weka.core.EuclideanDistance)))(1)_output-debug-info["false"]
weka.classifiers.meta.FilteredClassifier(weka.filters.unsupervised.attribute.StringToWordVector(weka.core.tokenizers.WordTokenizer),weka.classifiers.lazy.IBk(weka.core.neighboursearch.LinearNNSearch(weka.core.EuclideanDistance)))(1)_-do-not-check-capabilities["false"]
weka.classifiers.lazy.IBk(weka.core.neighboursearch.LinearNNSearch(weka.core.EuclideanDistance))(2)_I["false"]
weka.classifiers.lazy.IBk(weka.core.neighboursearch.LinearNNSearch(weka.core.EuclideanDistance))(2)_F["false"]
weka.classifiers.lazy.IBk(weka.core.neighboursearch.LinearNNSearch(weka.core.EuclideanDistance))(2)_K["1"]
weka.classifiers.lazy.IBk(weka.core.neighboursearch.LinearNNSearch(weka.core.EuclideanDistance))(2)_E["false"]
weka.classifiers.lazy.IBk(weka.core.neighboursearch.LinearNNSearch(weka.core.EuclideanDistance))(2)_W["0"]
weka.classifiers.lazy.IBk(weka.core.neighboursearch.LinearNNSearch(weka.core.EuclideanDistance))(2)_X["false"]
weka.classifiers.lazy.IBk(weka.core.neighboursearch.LinearNNSearch(weka.core.EuclideanDistance))(2)_A["weka.core.neighboursearch.LinearNNSearch"]
weka.classifiers.lazy.IBk(weka.core.neighboursearch.LinearNNSearch(weka.core.EuclideanDistance))(2)_output-debug-info["false"]
weka.classifiers.lazy.IBk(weka.core.neighboursearch.LinearNNSearch(weka.core.EuclideanDistance))(2)_-do-not-check-capabilities["false"]
weka.core.neighboursearch.LinearNNSearch(weka.core.EuclideanDistance)(2)_A["weka.core.EuclideanDistance"]
weka.core.neighboursearch.LinearNNSearch(weka.core.EuclideanDistance)(2)_P["false"]
weka.core.EuclideanDistance(2)_D["false"]
weka.core.EuclideanDistance(2)_R["first-last"]
weka.core.EuclideanDistance(2)_V["false"]

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

18 Evaluation measures

Area under ROC curve
0.5379 ± 0.0965
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4818 ± 0.0635
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0615 ± 0.1256
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.0712 ± 0.1448
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4641 ± 0.0721
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
358
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '10.0.2', 'amd64', 'Linux', '4.15.0-46-generic']
Precision
0.5494 ± 0.1324
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5307 ± 0.0641
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.5307 ± 0.0641
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9283 ± 0.1442
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.6696 ± 0.0528
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.3392 ± 0.1056
Cross-validation details (10-fold Crossvalidation)