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sansa
View on CRAN: Click
here
Download and install sansa package within the R console
Install from CRAN:
install.packages("sansa")
Install from Github:
library("remotes")
install_github("cran/sansa") Install by package version:
library("remotes")
install_version("sansa", "0.0.1") Attach the package and use:
library("sansa")
Maintained by
Murtaza Nasir
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
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First Published: 2022-08-23
Latest Update: 2022-08-23
Description:
Machine learning is widely used in information-systems design. Yet, training algorithms on imbalanced datasets may severely affect performance on unseen data. For example, in some cases in healthcare, financial, or internet-security contexts, certain sub-classes are difficult to learn because they are underrepresented in training data. This 'R' package offers a flexible and efficient solution based on a new synthetic average neighborhood sampling algorithm ('SANSA'), which, in contrast to other solutions, introduces a novel
How to cite:
Murtaza Nasir (2022). sansa: Synthetic Data Generation for Imbalanced Learning in 'R'. R package version 0.0.1, https://cran.r-project.org/web/packages/sansa. Accessed 05 Jun. 2026.
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Complete documentation for sansa
Functions, R codes and Examples using
the sansa R package
Some associated functions: sansa .
Some associated R codes: sansa.R . Full sansa package functions and examples
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