When I call a system a black box I am not saying we cannot understand it, but rather we cannot easily extract the rationale used by the system to discern the cl

When I call a system a black box I am not saying we cannot understand it, but rather we cannot easily extract the rationale used by the system to discern the classification. Layered neural networks are good examples of this where the signal is mixed in with the noise. I like simpler/older systems we can use to discern the method of classification (decision trees/forests) and NEAT which produce human readable structures.