When comes to a general bioinformatics task, there are always a bunch of tools on which we have to evaluate based on their underlying algorithm. Moreover, when we are about to build a model on our own, we again have to pick from a variety of ML model. How do we know which models may fit better to specific biological context? Can we derive a role of thumb for this model selection? Let's start with a general comparison: Most of ML model can be broadly classified as either gener