I am having issues getting started with a multi class problem with multiple features and hoping someone could please point me in the right direction.
I have data that is structured like this for training:
Item State Code1 Code2 Code3 Route
--- --- --- --- --- ---
item1 MI A1 33 blue Route1
item2 TX A3 35 yellow Route2
item3 NM A4 36 green Route3
item4 NM A4 37 green Route3
Essentially I am trying to figure out where to even start. The goal is to know where to route the Items based on the features State, Code1,2, and 3. The route is dependent on a mix of the codes and state, and I want to build a model that says when I have code X, Y, Z and Color XX, then it is probably route 1 (some routes of course in the training data might have X, Y as codes and a different Z)
I am assuming I will need to one-hot encode the features like the State and codes? But from there does anyone know of which type of model I should go for? I would assume a Neural Net of some kind, I've explored CNN's and Random Forrest.