How can I visualize improvement over baseline accuracy for increasing margins of error?

In the visualization below, I am trying to capture a classifier's improvement over the baseline, when we increase the margin of error. There are 6 classes, which are ordered 1-6. As an example, if the margin of error is only 1 class off, then the random baseline would be 16.67% (100/6). At this level, the classifier achieved 16.48% accuracy, or 1% below baseline.

I've tried visualizing it like so:

http://i.imgur.com/zdpDenI.png

But I don't feel this captures the essence of what I'm going for. Would more of a stacked chart be appropriate?

Here is the data