[D] What are the major advantages of having deep understanding of ML algorithms?

Let's say I want to build a classification model.


So, to find the best classification model, I will import all of sklearn's classifications algorithms, and test all of them, and test various hyperparameters for each model, and then choose the one that perfoms better on my data.


Given the fact that the process to "find the best model" is just testing all models and their hyperparameters, what befenits do I have of having deep understanding of ML algorithms? I mean, …

advantages algorithms classification classification model data import machinelearning major ml algorithms sklearn test understanding