</p></li>
<li><p><strong>custom_in_fold_preprocessor</strong> – Takes an instance of a CustomPreprocessing class. Allows users to eeecute
preprocessing after the train test split within cv folds. This will be executed only if precise_cv_tuning in
the conf_Training is True. Custom ML models need to implement this themselves. This step is only useful when
the proprocessing step has a high chance of overfitting otherwise (i.e: oversampling techniques).</p></li>
<li><p><strong>custom_preprocessor</strong> –