 for sampling of training observations.
    Observations with larger weights will be selected with
    higher probability in the bootstrap. The sum of the weights needs to be 1.</p>
</li>
<li>
<p><code>sample_size_pct</code>: <strong>double</strong> <em>(default = 0.63)</em> --
    percentage of original samples used in each tree building</p>
</li>
<li>
<p><code>importance_mode</code>: <strong>str</strong> <em>(default='impurity_corrected')</em> --
    variable importance mode. Here are the available option