[itissid]

4. Models are taught like an end, but courses don't teach you to mix them for debugging. They are usually a means to an end for example say you are using decision trees and your models are acting up, you could still try some debugging techniques from linear regression like residual analysis or plotting variable slopes of each variable vs Y to debug before jumping for shapley values.

The reason is not that using shapley values is bad, they are great, but you can get a lot of insight by having some base models that are simpler to debug.