Run
10154900

Run 10154900

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.r ules.JRip)(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.rules.JRip)(1)_F["weka.filters.unsupervised.attribute.StringToWordVector"]
weka.classifiers.meta.FilteredClassifier(weka.filters.unsupervised.attribute.StringToWordVector(weka.core.tokenizers.WordTokenizer),weka.classifiers.rules.JRip)(1)_doNotCheckForModifiedClassAttribute["false"]
weka.classifiers.meta.FilteredClassifier(weka.filters.unsupervised.attribute.StringToWordVector(weka.core.tokenizers.WordTokenizer),weka.classifiers.rules.JRip)(1)_S["1"]
weka.classifiers.meta.FilteredClassifier(weka.filters.unsupervised.attribute.StringToWordVector(weka.core.tokenizers.WordTokenizer),weka.classifiers.rules.JRip)(1)_W["weka.classifiers.rules.JRip"]
weka.classifiers.meta.FilteredClassifier(weka.filters.unsupervised.attribute.StringToWordVector(weka.core.tokenizers.WordTokenizer),weka.classifiers.rules.JRip)(1)_output-debug-info["false"]
weka.classifiers.meta.FilteredClassifier(weka.filters.unsupervised.attribute.StringToWordVector(weka.core.tokenizers.WordTokenizer),weka.classifiers.rules.JRip)(1)_-do-not-check-capabilities["false"]
weka.classifiers.rules.JRip(1)_F["3"]
weka.classifiers.rules.JRip(1)_N["2.0"]
weka.classifiers.rules.JRip(1)_O["2"]
weka.classifiers.rules.JRip(1)_D["false"]
weka.classifiers.rules.JRip(1)_S["1"]
weka.classifiers.rules.JRip(1)_E["false"]
weka.classifiers.rules.JRip(1)_P["false"]
weka.classifiers.rules.JRip(1)_output-debug-info["false"]
weka.classifiers.rules.JRip(1)_-do-not-check-capabilities["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
0.7127 ± 0.0948
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6871 ± 0.1116
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3743 ± 0.2205
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.2251 ± 0.1272
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4015 ± 0.0558
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
0.6872 ± 0.1138
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6872 ± 0.1094
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.6872 ± 0.1094
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8029 ± 0.1117
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4612 ± 0.0514
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9225 ± 0.1028
Cross-validation details (10-fold Crossvalidation)