In classification, if I take 2 features and color them according to label, I obtain a plot like this, which gives intuition about the effectiveness of my features.
How can I do a similar plot for regression? My aim is to gain (and give, in a paper or presentation) intuition about different features I use as input to a kernel ridge regression.
The only way I can think of is to take one dimension (i.e. one feature/input) and place it into a plot where x = feature, y = label. But I'm not sure if it will make sense. Maybe an ordering in x or y will make it nicer. But still not sure if this is a good idea enough to do. So I'm open to any advice :)
Thanks in advance,