inline source code for overfitting plots

[simonpcouch]

A little bit of developer complexity for the sake of participant simplicity. Given that we're already teaching a binary classification problem, I thought it'd be nice if the colors matched the ones that participants would expect with the example plot, i.e. green and tan mean two levels of an outcome variable.

Source for the original image: https://github.com/topepo/2022-nyr-workshop/blob/19266c8254a7c53b7a29bf424e4cafcbab91d5b5/5-tuning.Rmd#L173C1-L276C4

[topepo]

Just FYI... this plot is my current favorite for showing overfitting. (code). There's also a figure for the test set data too.

[hfrick]

I think it's helpful to have the code in here but I'm wondering if using the green/tan colors is really helpful here. It does link it back to the data at hand but that might also cause people to think that this is the forested data while it's a "generic" example. 🤔

If you think that that's unlikely, you're welcome to merge.

I also like the newer illustrations that Max posted (🙌 ), I'm gonna turn this into an issue for the next iteration of the material after conf. (Or this conf, if we feel ready.)