I am using a random forest classification to compare how the classification of disease improves when combining metabolites with two other measures ( visceral fat and CRP-1 levels) to see if adding the metabolite information improves classification than just visceral fat and CRP-1 levels together.
Adding metabolites only improves classification slightly ( I have small sample numbers and a small number of metabolites which doesn't help).
Whilst from this tutorial using the iris data, three lines are present on the ROC ( one for each species). https://www.blopig.com/blog/2017/04/a-very-basic-introduction-to-random-forests-using-r/
Please could anybody tell me how I would be able to plot two lines for the ROC curve for the disease group ( false positive vs true positive) showing one with the metabolites + visceral fat + CRP-1, whilst another with just visceral fat + CRP-1 ( a bit like the image above but the graph will only have two lines). I cannot seem to find any example online at the moment. My outcomes are not just from one model as with the iris data, as I ran two different ones ( one with the two variables, the other with the two variables + metabolites).
Any help or link to an example would be very appreciated.