Exploratory Data Analysis and Manipulation of Multi-Label Data Sets

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Documentation for package ‘mldr’ version 0.4.3

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Code demos. Use demo() to run them.

Help Pages

+.mldr	Generates a new mldr object joining the rows in the two mldrs given as input
==.mldr	Checks if two mldr objects have the same structure
accuracy	Multi-label averaged evaluation metrics
Averaged metrics	Multi-label averaged evaluation metrics
average_precision	Multi-label ranking-based evaluation metrics
Basic metrics	Multi-label evaluation metrics
birds	birds
concurrenceReport	Generates a label concurrence report
coverage	Multi-label ranking-based evaluation metrics
emotions	emotions
example_auc	Multi-label ranking-based evaluation metrics
fmeasure	Multi-label averaged evaluation metrics
genbase	genbase
hamming_loss	Multi-label evaluation metrics
labelInteractions	Provides data about interactions between labels
macro_auc	Multi-label ranking-based evaluation metrics
macro_fmeasure	Multi-label averaged evaluation metrics
macro_precision	Multi-label averaged evaluation metrics
macro_recall	Multi-label averaged evaluation metrics
micro_auc	Multi-label ranking-based evaluation metrics
micro_fmeasure	Multi-label averaged evaluation metrics
micro_precision	Multi-label averaged evaluation metrics
micro_recall	Multi-label averaged evaluation metrics
mldr	Creates an object representing a multilabel dataset
mldrGUI	Launches the web-based GUI for mldr
mldr_evaluate	Evaluate predictions made by a multilabel classifier
mldr_from_dataframe	Generates an mldr object from a data.frame and a vector with label indices
mldr_to_labels	Label matrix of an MLD
mldr_transform	Transformns an MLDR into binary or multiclass datasets
one_error	Multi-label ranking-based evaluation metrics
plot.mldr	Generates graphic representations of an mldr object
precision	Multi-label averaged evaluation metrics
print.mldr	Prints the mldr content
Ranking-based metrics	Multi-label ranking-based evaluation metrics
ranking_loss	Multi-label ranking-based evaluation metrics
read.arff	Read an ARFF file
recall	Multi-label averaged evaluation metrics
remedial	Decouples highly imbalanced labels
roc	ROC curve
roc.mldr	ROC curve
subset_accuracy	Multi-label evaluation metrics
summary.mldr	Provides a summary of measures about the mldr
write_arff	Write an '"mldr"' object to a file
[.mldr	Filter rows in a'mldr' returning a new 'mldr'