MLROS {mldr.resampling}

Randomly clones instances with minoritary labels

Description

This function implements the ML-ROS algorithm. It is a preprocessing algorithm for imbalanced multilabel datasets, whose aim is to identify instances with minoritary labels, and randomly clone them.

Usage

MLROS(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)
library(mldr.resampling)
MLROS(birds, 25)