I get where you're coming from. I guess just the problem domain I'm in, and my experience level, I tend to get what I expect from a model, and if I don't I'm more like, "wtf?" which isn't anywhere as fun of a way to do that part of the process.
Also, I know what is possible and impossible before I start writing code (if you don't count EDA code). There are exceptions, like it should be possible but it turns out the data is bad, but it didn't look bad from the EDA. Thankfully I've never had that. I always perform a Feasibility Assessment before anything else.
Not to imply what you're doing is somehow incorrect. Problems can vary quite a bit and I recognize that. For example, there have been times where I've had to mine to see if anything is there, doing ML over it to validate a hypothesis then using that information to create a new hypothesis, rinse and repeat. That's scary, because I could turn up nothing. I haven't done a lot of mining I admit though. Usually my problems are much more obvious from the get go, or much more research intensive.
One time I did three months of reading papers on arxiv.org just to figure out if something was feasible and how to best do it. Though that was definitely not a standard problem.
Also, I know what is possible and impossible before I start writing code (if you don't count EDA code). There are exceptions, like it should be possible but it turns out the data is bad, but it didn't look bad from the EDA. Thankfully I've never had that. I always perform a Feasibility Assessment before anything else.
Not to imply what you're doing is somehow incorrect. Problems can vary quite a bit and I recognize that. For example, there have been times where I've had to mine to see if anything is there, doing ML over it to validate a hypothesis then using that information to create a new hypothesis, rinse and repeat. That's scary, because I could turn up nothing. I haven't done a lot of mining I admit though. Usually my problems are much more obvious from the get go, or much more research intensive.
One time I did three months of reading papers on arxiv.org just to figure out if something was feasible and how to best do it. Though that was definitely not a standard problem.