MLRUS: Randomly deletes instances with majoritary labels

In mldr.resampling: Resampling Algorithms for Multi-Label Datasets

Randomly deletes instances with majoritary labels

Description

This function implements the ML-RUS algorithm. It is a preprocessing algorithm for imbalanced multilabel datasets, whose aim is to identify instances with majoritary labels, and randomly delete them from the original dataset.

Usage

MLRUS(D, P)

Arguments

D	mld mldr object with the multilabel dataset to preprocess
P	Percentage in which the original dataset is increased

Value

A mld object containing the preprocessed multilabel dataset

Source

Charte, F., Rivera, A. J., del Jesus, M. J., & Herrera, F. (2015). Addressing imbalance in multilabel classification: Measures and random resampling algorithms. Neurocomputing, 163, 3-16.

Examples

library(mldr)
MLRUS(birds, 25)

mldr.resampling documentation built on Aug. 22, 2023, 5:11 p.m.