t\)</span>-test inflates Type I error when used in
conjunction with random subsampling due to an underestimation of the
variance, as found by Dietterich (1998)<a class="footnote-ref" tabindex="0" data-bs-toggle="popover" data-bs-content="&lt;p&gt;Dietterich, T. G. (1998). Approximate Statistical Tests
for Comparing Supervised Classification Learning Algorithms. Neural
Computation, 10(7)&lt;/p&gt;"><sup>3</sup></a>. Nadeau and Bengio
(2003) proposed a solution (which we implement as
<code>resampled_ttest</co