Plotting a comparison graph where less is better

Say I want to compare many machine-learning models based on the error produced by each model. In this case, smaller error means better model. If I want to visualize this, the first thing that comes to my mind is a bar plot. The result is something like:

I feel that this plot doesn't express the meaning of the data. At first sight, you get the impression that "K-Nearest Neighbor" model is the best since it has the tallest bin.

So is there another type of graphs that expresses the data meaning better in this case?