Run
10154898

Run 10154898

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.t rees.RandomForest)(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.trees.RandomForest)(1)_F["weka.filters.unsupervised.attribute.StringToWordVector"]
weka.classifiers.meta.FilteredClassifier(weka.filters.unsupervised.attribute.StringToWordVector(weka.core.tokenizers.WordTokenizer),weka.classifiers.trees.RandomForest)(1)_doNotCheckForModifiedClassAttribute["false"]
weka.classifiers.meta.FilteredClassifier(weka.filters.unsupervised.attribute.StringToWordVector(weka.core.tokenizers.WordTokenizer),weka.classifiers.trees.RandomForest)(1)_S["1"]
weka.classifiers.meta.FilteredClassifier(weka.filters.unsupervised.attribute.StringToWordVector(weka.core.tokenizers.WordTokenizer),weka.classifiers.trees.RandomForest)(1)_W["weka.classifiers.trees.RandomForest"]
weka.classifiers.meta.FilteredClassifier(weka.filters.unsupervised.attribute.StringToWordVector(weka.core.tokenizers.WordTokenizer),weka.classifiers.trees.RandomForest)(1)_output-debug-info["false"]
weka.classifiers.meta.FilteredClassifier(weka.filters.unsupervised.attribute.StringToWordVector(weka.core.tokenizers.WordTokenizer),weka.classifiers.trees.RandomForest)(1)_-do-not-check-capabilities["false"]
weka.classifiers.trees.RandomForest(2)_P["100"]
weka.classifiers.trees.RandomForest(2)_O["false"]
weka.classifiers.trees.RandomForest(2)_store-out-of-bag-predictions["false"]
weka.classifiers.trees.RandomForest(2)_output-out-of-bag-complexity-statistics["false"]
weka.classifiers.trees.RandomForest(2)_print["false"]
weka.classifiers.trees.RandomForest(2)_attribute-importance["false"]
weka.classifiers.trees.RandomForest(2)_I["100"]
weka.classifiers.trees.RandomForest(2)_num-slots["1"]
weka.classifiers.trees.RandomForest(2)_K["0"]
weka.classifiers.trees.RandomForest(2)_M["1.0"]
weka.classifiers.trees.RandomForest(2)_V["0.001"]
weka.classifiers.trees.RandomForest(2)_S["1"]
weka.classifiers.trees.RandomForest(2)_U["false"]
weka.classifiers.trees.RandomForest(2)_B["false"]
weka.classifiers.trees.RandomForest(2)_output-debug-info["false"]
weka.classifiers.trees.RandomForest(2)_-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
0.8026 ± 0.0832
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7372 ± 0.0812
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4749 ± 0.1607
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.1319 ± 0.0397
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4482 ± 0.0159
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
0.7382 ± 0.0826
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7374 ± 0.0806
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.7374 ± 0.0806
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8963 ± 0.0319
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4564 ± 0.0157
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9128 ± 0.0314
Cross-validation details (10-fold Crossvalidation)