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featForge  

Automated Feature Engineering for Credit Scoring
View on CRAN: Click here


Download and install featForge package within the R console
Install from CRAN:
install.packages("featForge")

Install from Github:
library("remotes")
install_github("cran/featForge")

Install by package version:
library("remotes")
install_version("featForge", "0.1.2")



Attach the package and use:
library("featForge")
Maintained by
Rudolfs Kregers
[Scholar Profile | Author Map]
First Published: 2025-04-16
Latest Update: 2025-04-16
Description:
Automated feature engineering functions tailored for credit scoring. It includes utilities for extracting structured features from timestamps, IP addresses, and email addresses, enabling enhanced predictive modeling for financial risk assessment.
How to cite:
Rudolfs Kregers (2025). featForge: Automated Feature Engineering for Credit Scoring. R package version 0.1.2, https://cran.r-project.org/web/packages/featForge. Accessed 03 May. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited featForge R package
View featForge citation profile
Other R packages that featForge depends, imports, suggests or enhances
Complete documentation for featForge
Functions, R codes and Examples using the featForge R package
Full featForge package functions and examples
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