summary.LeakTune

Prints a concise report for a `LeakTune` object produced by [tune_resample()].
The report highlights the tuning strategy, selection metric, and
cross-validated performance across outer folds, plus a glimpse of the selected
hyperparameters.

Prevents and detects information leakage in biomedical machine learning.
Provides leakage-resistant split policies (subject-grouped, batch-blocked, study leave-out, time-ordered),
guarded preprocessing (train-only imputation, normalization, filtering, feature selection),
cross-validated fitting with common learners, permutation-gap auditing, batch and fold association tests,
and duplicate detection.

Selcuk Korkmaz

bioLeak

Leakage-Safe Modeling and Auditing for Genomic and Clinical Data

summary.LeakTune function

<dl><dt>object</dt>
<dd>A [LeakTune] object returned by [tune_resample()].</dd>
<dt>digits</dt>
<dd>Integer scalar. Number of decimal places to print in numeric
summary tables. Defaults to 3.</dd>
<dt>...</dt>
<dd>Unused. Included for S3 method compatibility.</dd></dl>

Arguments

Summarize a nested tuning result — summary.LeakTune

<dl>

<dt>object</dt>
<dd>A [LeakTune] object returned by [tune_resample()].</dd>


<dt>digits</dt>
<dd>Integer scalar. Number of decimal places to print in numeric
summary tables. Defaults to 3.</dd>


<dt>...</dt>
<dd>Unused. Included for S3 method compatibility.</dd>

</dl>

summary.LeakTune: Summarize a nested tuning result

Description

Usage

Value

Arguments