assign_risk_group

Dichotomizes a continuous risk vector into "low" and "high" risk groups
based on the median.

internal

Provides a guarded resampling workflow for training and evaluating machine-learning models.
When the guarded resampling path is used, preprocessing and model fitting are re-estimated within
each resampling split to reduce leakage risk. Supports multiple resampling schemes, integrates
with established engines in the 'tidymodels' ecosystem, and aims to improve evaluation reliability by
coordinating preprocessing, fitting, and evaluation within supported workflows. Offers a lightweight
AutoML-style workflow by automating model training, resampling, and tuning across multiple algorithms,
while keeping evaluation design explicit and user-controlled.

Selcuk Korkmaz

fastml

Guarded Resampling Workflows for Safe and Automated Machine
Learning in R

Dincer Goksuluk

Eda Karaismailoglu

assign_risk_group function

<dl><dt>risk_vec</dt>
<dd>Numeric vector of predicted risk scores.</dd></dl>

Arguments

Assign Risk Groups — assign_risk_group

<dl>

<dt>risk_vec</dt>
<dd>Numeric vector of predicted risk scores.</dd>

</dl>

assign_risk_group: Assign Risk Groups

Description

Usage

Value

Arguments