GenerateASingleCandidate

A dataframe containing available data

data

Class

Column the target class is located in the dataframe

Minimum confidence level to generate sample

Prob

<code>GenerateASingleCandidate</code> Generates a novel sample from a target class and evaluate it against the other classes to check if it satisfies the confidence level
returns NA if the generated sample does not satisfy the condition, otherwise returns novel sample

Implementation of a data augmentation technique based on conditional entropy
It was devised by both authors during their masters and is discussed in detail in the second author dissertation.
It is able to create novel samples conditioned on a desired value of a categorical attribute, as a way to augment data for classification tasks
Tests discussed in the dissertation and future paper present that the technique satisfies several statistical assumptions for the novel samples.
It also shows significant improvement for machine learning models trained on small data.

Rafael Pereira

AugmenterR

Data Augmentation for Machine Learning on Tabular Data

Rafael S. Pereira

Henrique Matheus ferreira da silva

Fabio A.M Porto

GenerateASingleCandidate function

<code>GenerateASingleCandidate</code> Generates a novel sample from a target class and evaluate it against the other classes to check if it satisfies the confidence level
returns NA if the generated sample does not satisfy the condition, otherwise returns novel sample — GenerateASingleCandidate

<code>GenerateASingleCandidate</code> Generates a novel sample from a target class and evaluate it against the other classes to check if it satisfies the confidence level
returns NA if the generated sample does not satisfy the condition, otherwise returns novel sample

GenerateASingleCandidate: `GenerateASingleCandidate` Generates a novel sample from a target class and evaluate it against the other classes to check if it satisfies the confidence level returns NA if the generated sample does not satisfy the condition, otherwise returns novel sample

Description

Usage

Arguments

Value