I am trying to find the best way to visualize different distributions of accuracy. Accuracy here is a value in the interval [0,1], 0 meaning not accurate, 1 maximum accuracy.
I have different methods to compare, so I decided to use violin plots.
Distributions are clustered near 1 but they have also a long tail (the first one is cut at 0.45).
How can I transform the data (e.g. in log-scale), in order to visualize better the differences between these plots? I want to focus in the interval [0.8, 1], but I want also to retain the long tails.
I do not want to use boxplots because in this case I saw that they do not show correctly the distributions (also because the lower quartile is already 1).
I add also the corresponding boxplot.