Fig. 2
From: Automatic identification of variables in epidemiological datasets using logic regression
Sensitivity and specificity as a function of tuning parameters, weights, treesize, minmass and method. At the set point weights = exp(-7), treesize = 8, minmass = 10 for the classification method, the dependency of sensitivity and specificity upon these tuning parameters can be read off this multiple one dimensional plot. On the x-axis in the left most plot, weights are shown as natural logarithm of the actual values that effectively vary from 0.0005 = exp(-7.6) to 0.5 = exp(-0.7)