ic-train-1.png" alt="**Figure 6**: Plotting the best FFT on _training_ data." width="580px"><p class="caption">
<strong>Figure 6</strong>: Plotting the best FFT on <em>training</em>
data.
</p>
</div>
<p>Tree #1 is the best training tree — and could also be visualized by
<code>plot(titanic.pred.fft, tree = "best.train")</code>. This tree has
a high specificity of 92%, but a much lower sensitivity of just 51%. The
overall accuracy of the tree’s classifications is at 79%, which exceeds
the baseline, bu