In the image comparing logistic regression and decision trees, it seems to suggest they only used linear features for logistic regression (?). Otherwise, shouldn’t there be a non linear classification boundary?
They write in the text that their model featured nonlinear transformations. I think the picture shows a simplified view and as the plots don't have labels it's not clear which space is regarded.
