pecifies the minimum number of samples allowed in each bin during the binning optimization process. Increasing this value can result in more stable binning, but may also lead to information loss if there are too few samples in a bin.</p></li>
</ul>
<p>By tuning these hyperparameters, you can optimize the binning results to strike a balance between model complexity and interpretability. Increasing the <code class="docutils literal notranslate"><span class="pre">max_bin</span></code> hyperparameter or decreas