leakr_plot

Provides utilities to detect common data leakage patterns including train/test
contamination, temporal leakage, and data duplication, enhancing model reliability and
reproducibility in machine learning workflows. Generates diagnostic reports and visual
summaries to support data validation. Methods based on best practices from Hastie,
Tibshirani, and Friedman (2009, ISBN:978-0387848570).

Cheryl Isabella

leakr

Data Leakage Detection Tools for Machine Learning

leakr_plot function

<dl><dt>x</dt>
<dd>Results from leakr_audit</dd>
<dt>...</dt>
<dd>TODO: Add description
Plot leakage detection results</dd></dl>

Arguments

Plot leakage detection results — leakr_plot

<dl>

<dt>x</dt>
<dd>Results from leakr_audit</dd>


<dt>...</dt>
<dd>TODO: Add description
Plot leakage detection results</dd>

</dl>

leakr_plot: Plot leakage detection results

Description

Usage

Value

Arguments