https://github.com/cherylisabella/leakr

R package for detecting data leakage in machine learning workflows, ensuring model integrity and reliability.
https://github.com/cherylisabella/leakr

data-leakage data-science leakage-detection machine-learning r

Last synced: 10 months ago
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R package for detecting data leakage in machine learning workflows, ensuring model integrity and reliability.

• Host: GitHub
• URL: https://github.com/cherylisabella/leakr
• Owner: cherylisabella
• License: other
• Created: 2025-09-24T16:34:57.000Z (10 months ago)
• Default Branch: main
• Last Pushed: 2025-09-25T21:45:50.000Z (10 months ago)
• Last Synced: 2025-09-25T23:41:29.375Z (10 months ago)
• Topics: data-leakage, data-science, leakage-detection, machine-learning, r
• Language: R
• Homepage:
• Size: 86.9 KB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Changelog: NEWS.md
  • License: LICENSE

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README

          
# leakR: Universal Data Leakage Detector for R  

Welcome to **leakR**, an R package designed to help researchers, data scientists, and machine learning practitioners rigorously detect and diagnose **data leakage** in their workflows.  

Data leakage is a pervasive yet often overlooked issue that undermines the integrity and reproducibility of predictive models by allowing unintended information to “leak” between training and testing phases.  

**leakR** provides a modular, extensible toolkit for detecting the most common and impactful forms of leakage, starting with tabular data contamination, target leakage, and temporal misalignments, while laying the foundation for a universal leakage detection framework across diverse data domains.

---

## Why leakR?  

- Automates leakage detection, filling a key methodological gap.  

- Designed for clarity, reproducibility, and transparent ML research.  

- Modular architecture supports gradual expansion (time series, NLP, images).  

- Useful for both academic and industry workflows.  

---

## Features  

- Detects:  

  - Train/test contamination  

  - Target leakage  

  - Duplicate rows/records  

  - Temporal misalignments  

- Provides **visual summaries** of suspicious patterns.  

- Generates **detailed leakage reports** for audits or publications.  

- Offers clean APIs for seamless integration into ML workflows.  

- Includes **example vignettes** demonstrating leakage phenomena with code illustrations.  

---

## Roadmap  

- **Phase 1**: Core tabular leakage detectors.  

- **Phase 2**: Time series leakage detection.  

- **Phase 3**: Domain-specific extensions (NLP, image pipelines).  

- **Phase 4**: Pipeline integration and multi-language support.  

---

## Installation  

leakR is currently under **active development**. Installation instructions will be provided once the first release is available on CRAN or GitHub.