eatures in zip(rules, samples, features):

        # Create mask for OOB samples
        mask = ~indices_to_mask(curr_samples, X.shape[0])
        if sum(mask) == 0:
            if oob:
                warn(
                    &#34;OOB evaluation not possible: doing it in-bag. Performance evaluation is &#34;
                    &#34;likely to be wrong (overfitting) and selected rules are likely to not &#34;
                    &#34;perform well! Please use max_samples &lt; 1.&#34;
                )
       